Physiological Signal Classification Papers

This repo contains a list of papers for physiological signal classification using machine learning/deep learning.

If you have any suggested papers, please contact me ziyujia{at}bjtu.edu.cn

Contents

• Physiological Signal Classification Papers
  • Contents
  • Overall Statistics
  • Paper lists categorized by signal type
    • EEG
    • ECG
    • EMG
    • EOG
    • Combination of signals
  • Acknowledgement
  • More paper lists

Overall Statistics

We conduct the overall statistical analysis of all papers in this list. Here we give the number of papers for each task, the number of papers of each model type, and the proportion of papers of signal type.

Paper lists categorized by signal type

EEG

Task/Application	Title	Model	Publication	Year
Motor Imagery	Motor Imagery EEG Spectral-Spatial Feature Optimization Using Dual-Tree Complex Wavelet and Neighbourhood Component Analysis	ML	IRBM	2022
Motor Imagery	EEG-based motor imagery classification using convolutional neural networks with local reparameterization trick	CNN	ESWA	2022
Motor Imagery	A framework for motor imagery with LSTM neural network	LSTM	CMPB	2022
Motor Imagery	Motor imagery based brain-computer interface: improving the EEG classification using Delta rhythm and LightGBM algorithm	DT	BSPC	2022
Motor Imagery	Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network	CNN&LSTM	BSPC	2022
Motor Imagery	A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification	CNN	MDPI Biosensors	2022
Motor Imagery	A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals	LSTM	Computers in Biology and Medicine	2022
Motor Imagery	An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces	CNN	BSPC	2022
Motor Imagery	A classification method for EEG motor imagery signals based on parallel convolutional neural network	CNN	BSPC	2022
Motor Imagery	Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification	CNN	Journal of Neural Engineering	2021
Motor Imagery	A Novel Ensemble Learning Approach for Classification of EEG Motor Imagery Signals	Ensemble Learning	IWCMC	2021
Motor Imagery	Attention-Inception and Long-Short-Term Memory-Based Electroencephalography Classification for Motor Imagery Tasks in Rehabilitation	CNN	IEEE TII	2021
Motor Imagery	Semi-Supervised Contrastive Learning for Generalizable Motor Imagery EEG Classification	Contrastive Learning	IEEE BSN	2021
Motor Imagery	Time window and frequency band optimization using regularized neighbourhood component analysis for Multi-View Motor Imagery EEG classification	ML	BSPC	2021
Motor Imagery	A motor imagery EEG signal classification algorithm based on recurrence plot convolution neural network	CNN	Pattern Recognition Letters	2021
Motor Imagery	MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification	CNN	IEEE TBME	2021
Motor Imagery	A novel motor imagery EEG decoding method based on feature separation	FSNAL	Journal of Neural Engineering	2021
Motor Imagery	Automatic feature extraction and fusion recognition of motor imagery EEG using multilevel multiscale CNN	CNN	MBEC	2021
Motor Imagery	A channel-mixing convolutional neural network for motor imagery EEG decoding and feature visualization	CNN	BSPC	2021
Motor Imagery	MIDNN - a classification approach for the EEG based motor imagery tasks using deep neural network	DNN	Applied Intelligence	2021
Motor Imagery	EEG-based motor imagery classification using digraph Fourier transforms and extreme learning machines	ELM	BSPC	2021
Motor Imagery	Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks	CNN	IEEE TNNLS	2021
Motor Imagery	Multilayer Network Approach in EEG Motor Imagery with an Adaptive Threshold	MLP	MDPI Sensors	2021
Motor Imagery	Shallow Convolutional Network Excel for Classifying Motor Imagery EEG in BCI Applications	CNN	IEEE Access	2021
Motor Imagery	An EEG channel selection method for motor imagery based brain–computer interface and neurofeedback using Granger causality	ML	Neural Networks	2021
Motor Imagery	Boosting-LDA algriothm with multi-domain feature fusion for motor imagery EEG decoding	LDA	BSPC	2021
Motor Imagery	NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework	--	IEEE TCYB	2021
Motor Imagery	Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces	CNN	IEEE Access	2021
Motor Imagery	A Temporal-Spectral-Based Squeeze-and- Excitation Feature Fusion Network for Motor Imagery EEG Decoding	CNN	IEEE TNSRE	2021
Motor Imagery	EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation	ML	Computers in Biology and Medicine	2021
Motor Imagery	Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification	SVM	IEEE TNSRE	2021
Motor Imagery	Attention based Inception model for robust EEG motor imagery classification	CNN	IEEE I2MTC	2021
Motor Imagery	Electroencephalography-based motor imagery classification using temporal convolutional network fusion	CNN	BSPC	2021
Motor Imagery	Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network	CNN	Neural Networks	2021
Motor Imagery	EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification	CNN	Journal of Neural Engineering	2021
Motor Imagery	Motor Imagery EEG Decoding Method Based on a Discriminative Feature Learning Strategy	CNN	IEEE TNSRE	2021
Motor Imagery	A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI	LDA	IEEE TIM	2021
Motor Imagery	EEG motor imagery classification using dynamic connectivity patterns and convolutional autoencoder	CNN	BSPC	2021
Motor Imagery	Hybrid deep neural network using transfer learning for EEG motor imagery decoding	NN	BSPC	2021
Motor Imagery	MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification	CNN	ECML PKDD	2021
Motor Imagery	Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network	CNN	Expert Syst Appl	2020
Motor Imagery	Making sense of spatio-temporal preserving representations for EEG-based human intention recognition	CNN, LSTM	IEEE Trans. Cybern.	2020
Motor Imagery	A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level	CNN (CWT,TF)	Neural Networks	2020
Motor Imagery	Convolutional neural network based features for motor imagery EEG signals classification in brain–computer interface system	SVM	Applied Sciences	2020
Motor Imagery	A novel simplified convolutional neural network classification algorithm of motor imagery EEG signals based on deep learning	SCNN (CWT)	Applied Sciences	2020
Motor Imagery	HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification	CNN	J. Neural. Eng.	2020
Motor Imagery	Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery Classification	CNN	IEEE ICDM	2020
Motor Imagery	Application of continuous wavelet transform and convolutional neural network in decoding motor imagery brain-computer interface	CNN (CWT)	Entropy	2019
Motor Imagery	Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion	CNN	Future Gener Comput Syst	2019
Motor Imagery	A novel end‐to‐end deep learning scheme for classifying multi‐class motor imagery electroencephalography signals.	GDL	Expert Systems	2019
Motor Imagery	Deep Channel-Correlation Network for Motor Imagery Decoding From the Same Limb	CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Motor Imagery	A parallel multiscale filter bank convolutional neural networks for motor imagery EEG classification.	CNN	Front. Neurosci.	2019
Motor Imagery	Subject-independent brain–computer interfaces based on deep convolutional neural networks.	CNN (SSFR)	IEEE Trans. Neural Netw. Learn. Syst.	2019
Motor Imagery	A new approach for motor imagery classification based on sorted blind source separation, continuous wavelet transform, and convolutional neural network	CNN (CWT)	Sensors	2019
Motor Imagery	A multi-branch 3D convolutional neural network for EEG-based motor imagery classification.	CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Motor Imagery	A novel hybrid deep learning scheme for four-class motor imagery classification.	CNN, LSTM (FBCSP)	J Neural Eng	2019
Motor Imagery	An advanced bispectrum features for EEG-based motor imagery classification.	SVM (VSBS)	Expert Systems with Applications	2019
Motor Imagery	Densely feature fusion based on convolutional neural networks for motor imagery EEG classification	CNN (DFFN)	IEEE Access	2019
Motor Imagery	A deep learning framework for decoding motor imagery tasks of the same hand using EEG signals	CNN (QTFD)	IEEE Access	2019
Motor Imagery	A deep transfer convolutional neural network framework for EEG signal classification.	CNN	IEEE Access	2019
Motor Imagery	A channel-projection mixed-scale convolutional neural network for motor imagery EEG decoding	CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Motor Imagery	Learning joint space–time–frequency features for EEG decoding on small labeled data.	CNN	Neural Networks	2019
Motor Imagery	Motor imagery EEG classification using capsule networks	CNN (STFT)	Sensors	2019
Motor Imagery	Semisupervised deep stacking network with adaptive learning rate strategy for motor imagery EEG recognition.	SADSN	Neural computation	2019
Motor Imagery	Efficient classification of motor imagery electroencephalography signals using deep learning methods.	CNN	Sensors	2019
Motor Imagery	Separated channel convolutional neural network to realize the training free motor imagery BCI systems	SCNN(CSP)	Biomed Signal Process Control	2019
Motor Imagery	A convolutional recurrent attention model for subject-independent EEG signal analysis.	CNN, RNN (CRAM)	IEEE Signal Process. Lett.	2019
Motor Imagery	Classification of multiple motor imagery using deep convolutional neural networks and spatial filters	CNN (DFBCSP)	Appl Soft Comput	2019
Motor Imagery	Convolutional neural network based approach towards motor imagery tasks EEG signals classification	CNN (STFT,CWT)	IEEE Sensors J.	2019
Motor Imagery	Domain adaptation with source selection for motor-imagery based BCI	CNN (PSD)	BCI	2019
Motor Imagery	Validating deep neural networks for online decoding of motor imagery movements from EEG signals.	LSTM, CNN	Sensors	2019
Motor Imagery	Multilevel weighted feature fusion using convolutional neural networks for EEG motor imagery classification	CNN	IEEE Access	2019
Motor Imagery	A novel deep learning approach with data augmentation to classify motor imagery signals.	CNN, WNN	IEEE Access	2019
Motor Imagery	EEG classification of motor imagery using a novel deep learning framework	CNN (STFT)	Sensors	2019
Motor Imagery	Walking imagery evaluation in brain computer interfaces via a multi-view multi-level deep polynomial network.	MMDPN (CSP, PSD, WPT)	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Motor Imagery	Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface.	MFF	IEEE Comput Intell M	2019
Motor Imagery	Characterization of Industry 4.0 Lean Management Problem-Solving Behavioral Patterns Using EEG Sensors and Deep Learning	CNN	Sensors	2019
Motor Imagery	Deep learning with EEG spectrograms in rapid eye movement behavior disorder	CNN	Front. Neurol.	2019
Motor Imagery	Wavelet transform time-frequency image and convolutional network-based motor imagery EEG classification.	CNN	IEEE Access	2018
Motor Imagery	An end-to-end deep learning approach to MI-EEG signal classification for BCIs.	CNN	Expert Syst Appl	2018
Motor Imagery	Deep fusion feature learning network for MI-EEG classification.	CNN, LSTM (DWT)	IEEE Access	2018
Motor Imagery	LSTM-based EEG classification in motor imagery tasks.	LSTM	IEEE Trans. Neural Syst. Rehabil. Eng.	2018
Motor Imagery	EEG classification using sparse Bayesian extreme learning machine for brain–computer interface.	SBELM	Neural Comput Appl	2018
Motor Imagery	Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network.	LSTM, GRU (FBCSP)	BMC bioinformatics	2018
Motor Imagery	A hierarchical semi-supervised extreme learning machine method for EEG recognition.	HSS-ELM	Med. Biol. Eng. Comput.	2018
Motor Imagery	EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces.	CNN	J Neural Eng	2018
Motor Imagery	The motor imagination EEG recognition combined with convolution neural network and gated recurrent unit.	CNN, GRU	CCC	2018
Motor Imagery	A Deep Convolutional Neural Network Based Classification Of Multi-Class Motor Imagery With Improved Generalization.	CNN	EMBC	2018
Motor Imagery	Temporally constrained sparse group spatial patterns for motor imagery BCI.	SVM (TSGSP)	IEEE Trans. Cybern.	2018
Motor Imagery	Classification of multi-class BCI data by common spatial pattern and fuzzy system	FLS	IEEE Access	2018
Motor Imagery	Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces.	MKELM	Expert Syst Appl	2018
Motor Imagery	Learning temporal information for brain-computer interface using convolutional neural networks.	CNN (FBCSP)	IEEE Trans. Neural Netw. Learn. Syst.	2018
Motor Imagery	Deep recurrent spatio-temporal neural network for motor imagery based BCI.	CNN, RNN	BCI	2018
Motor Imagery	Classification of motor imagery for Ear-EEG based brain-computer interface.	CSP	BCI	2018
Motor Imagery	A convolution neural networks scheme for classification of motor imagery EEG based on wavelet time-frequecy image.	CNN (CWT)	ICOIN	2018
Motor Imagery	Spatio–Spectral Representation Learning for Electroencephalographic Gait-Pattern Classification	CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2018
Motor Imagery	Improving EEG-Based Motor Imagery Classification via Spatial and Temporal Recurrent Neural Networks	LSTM	IEEE EMBC	2018
Motor Imagery	Deep convolutional neural network for decoding motor imagery based brain computer interface.	CNN (STFT)	ICSPCC	2017
Motor Imagery	Deep learning with convolutional neural networks for EEG decoding and visualization.	CNN	Human brain mapping	2017
Motor Imagery	EEG feature extraction and classification in multiclass multiuser motor imagery brain computer interface u sing Bayesian Network and ANN.	BN	ICICICT	2017
Motor Imagery	A deep learning scheme for motor imagery classification based on restricted boltzmann machines	CNN	Comput. Biol. Med.	2017
Motor Imagery	A deep learning approach for motor imagery EEG signal classification.	CSP	APWC on CSE	2016
Motor Imagery	A novel deep learning approach for classification of EEG motor imagery signals.	CNN (SAE)	J Neural Eng	2016
Motor Imagery	A deep learning scheme for motor imagery classification based on restricted Boltzmann machines.	RBM (FFT, WPD)	IEEE Trans. Neural Syst. Rehabil. Eng.	2016
Motor Imagery	A multi-label classification method for detection of combined motor imageries.	CSP	IEEE Trans. Syst., Man, Cybern. Syst.	2015
Motor Imagery	On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.	CNN (FCMS)	EMBC	2015
Motor Imagery	Parallel convolutional-linear neural network for motor imagery classification.	CNN	EUSIPCO	2015
Motor Imagery	Increase performance of four-class classification for motor-imagery based brain-computer interface.	CSP	CITS	2014
Motor Imagery	A novel classification method for motor imagery based on Brain-Computer Interface.	LDA (CSP)	IJCNN	2014
Motor Imagery	Neural network-based three-class motor imagery classification using time-domain features for BCI applications.	MLP, RBF	IEEE TENSYMP	2014
Motor Imagery	Deep learning of multifractal attributes from motor imagery induced eeg	DBN	IEEE ICME	2014
Motor Imagery	A deep learning method for classification of EEG data based on motor imagery	DBN, SVM	Sci. World J.	2014
Motor Imagery	EEG feature comparison and classification of simple and compound limb motor imagery.	CSP (SVM)	J Neuroeng Rehabil	2013
Motor Imagery	Evolving spatial and frequency selection filters for brain-computer interfaces.	CSP	IEEE Trans. Evol. Comput.	2010
Motor Imagery	Convolutional neural network with embedded fourier transform for EEG classification	CNN	IEEE MLSP	2008
SSVEP	Align and Pool for EEG Headset Domain Adaptation (ALPHA) to Facilitate Dry Electrode Based SSVEP-BCI	Transfer learning	IEEE TBME	2022
SSVEP	Filter Bank Convolutional Neural Network for SSVEP Classification	CNN	IEEE Access	2021
SSVEP	EEGNet With Ensemble Learning to Improve the Cross-Session Classification of SSVEP Based BCI From Ear-EEG	Ensemble Learning	IEEE Access	2021
SSVEP	High Accuracy and Short Delay 1ch-SSVEP Quadcopter-BMI Using Deep Learning	CNN	Journal of Robotics and Mechatronics	2021
SSVEP	Convolutional Correlation Analysis for Enhancing the Performance of SSVEP-Based Brain-Computer Interface	CNN	IEEE TNSRE	2020
SSVEP	Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA	NN	Neurocomputing	2020
SSVEP	LSTM-based Classification of Multiflicker-SSVEP in Single Channel Dry-EEG for Low-power/High-accuracy Quadcopter-BMI System	LSTM	IEEE SMC	2019
SSVEP	Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification	GAN	IEEE IJCNN	2019
SSVEP	Applying deep-learning to a top-down SSVEP BMI	NN	IEEE BCI	2018
SSVEP	A Single-Channel SSVEP-Based BCI Speller Using Deep Learning	CNN	IEEE Access	2018
SSVEP	On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks	CNN	IEEE SMC	2018
SSVEP	Deep learning-based classification for brain-computer interfaces	RNN	IEEE SMC	2017
SSVEP	Frequency detection for SSVEP-based BCI using deep canonical correlation analysis	--	IEEE SMC	2016
P300	A Systematic Deep Learning Model Selection for P300-Based Brain–Computer Interfaces	LSTM	IEEE TSMC	2021
P300	Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning	CNN	IEEE Access	2021
P300	The MindGomoku: An Online P300 BCI Game Based on Bayesian Deep Learning	CNN	MDPI Sensors	2021
P300	A Deep Learning Architecture for P300 Detection with Brain-Computer Interface Application	EWANN	IRBM	2020
P300	Fusion of Convolutional Neural Networks for P300 Based Character Recognition	CNN	IEEE ICIT	2020
P300	MsCNN: A Deep Learning Framework for P300-Based Brain–Computer Interface Speller	SVM	IEEE TMRB	2020
P300	Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder	CNN&LSTM	IEEE Access	2019
P300	Improving Performance of Devanagari Script Input-Based P300 Speller Using Deep Learning	CNN	IEEE TBME	2019
P300	Single Trial P300 Classification Using Convolutional LSTM and Deep Learning Ensembles Method	CNN&LSTM	IEEE MECBME	2018
P300	A deep learning approach to single-trial classification for P300 spellers	PCA	IEEE MECBME	2018
P300	Deep learning based on Batch Normalization for P300 signal detection	CNN	Neurocomputing	2018
P300	Stacked Autoencoders for the P300 Component Detection	MLP	Brain Machine Interfacing	2017
P300	Deep belief networks and stacked autoencoders for the P300 Guilty Knowledge Test	DBN	IEEE IECBES	2016
P300	Visualizing extracted feature by deep learning in P300 discrimination task	ML	IEEE SoCPaR	2015
Sleep stage classification	Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages	MLP	MDPI Sensors	2022
Sleep stage classification	Self-supervised EEG Representation Learning for Automatic Sleep Staging	ContraWR	arXiv	2022
Sleep stage classification	A new dissimilarity measure based on ordinal pattern for analyzing physiological signals	-	Physica A	2021
Sleep stage classification	An effective multi-model fusion method for EEG-based sleep stage classification	SVM	Knowledge-Based Systems	2021
Sleep stage classification	An EEG spectrogram-based automatic sleep stage scoring method via data augmentation, ensemble convolution neural network, and expert knowledge	CNN	BSPC	2021
Sleep stage classification	Metasleeplearner: A pilot study on fast adaptation of bio-signals-based sleep stage classifier to new individual subject using meta-learning	MAML	IEEE J. Biomed. Health Inform.	2020
Sleep stage classification	A graph-temporal fused dual-input convolutional neural network for detecting sleep stages from EEG signals	CNN	IEEE Trans. Circuits Syst., II, Exp. Briefs	2020
Sleep stage classification	inySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG	CNN, LSTM	IEEE EMBC	2020
Sleep stage classification	Temporal dependency in automatic sleep scoring via deep learning based architectures: An empirical study	CNN, LSTM	IEEE EMBC	2020
Sleep stage classification	Automatic Sleep Stage Classification using Marginal Hilbert Spectrum Features and a Convolutional Neural Network	CNN	IEEE EMBC	2020
Sleep stage classification	Personalized automatic sleep staging with single-night data: a pilot study with Kullback--Leibler divergence regularization	RNN	Physiological measurement	2020
Sleep stage classification	Intra-and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG	CNN, RNN	Biomed Signal Process Control	2020
Sleep stage classification	Automatic identification of insomnia based on single-channel EEG labelled with sleep stage annotations	CNN	IEEE Access	2020
Sleep stage classification	Automatic sleep stage classification with single channel EEG signal based on two-layer stacked ensemble model	RF,LGB	IEEE Access	2020
Sleep stage classification	Sleep stage classification model based ondeep convolutional neural network	CNN	J. Zhejiang Univ. Eng.	2020
Sleep stage classification	Automatic Sleep Staging Based on XGBOOST Physiological Signals	XGBOOST	ICMIC	2019
Sleep stage classification	Diffuse to fuse EEG spectra--intrinsic geometry of sleep dynamics for classification	Diffusion Map	Biomed Signal Process Control	2019
Sleep stage classification	An image based prediction model for sleep stage identification	CNN	ICIP	2019
Sleep stage classification	Deep convolutional neural network for classification of sleep stages from single-channel EEG signals	CNN	J. Neurosci. Methods	2019
Sleep stage classification	A Novel Sleep Staging Algorithm Based on Hybrid Neural Network	CNN, BiLSTM	ICEIEC	2019
Sleep stage classification	Pediatric sleep stage classification using multi-domain hybrid neural networks	CNN, BiLSTM	IEEE Access	2019
Sleep stage classification	Convolutional neural networks for sleep stage scoring on a two-channel EEG signal	CNN	Soft Computing	2019
Sleep stage classification	End-to-end sleep staging with raw single channel EEG using deep residual convnets	CNN, LSTM	IEEE EMBS BHI	2019
Sleep stage classification	SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach	CNN, BiLSTM	PloS one	2019
Sleep stage classification	utomatic sleep staging employing convolutional neural networks and cortical connectivity images	CNN	IEEE Trans. Neural Netw. Learn. Syst	2019
Sleep stage classification	Investigating the effect of short term responsive VNS therapy on sleep quality using automatic sleep staging	SVM	IEEE EMBC	2019
Sleep stage classification	Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals	LSTM	Comput. Biol. Med.	2019
Sleep stage classification	U-time: A fully convolutional network for time series segmentation applied to sleep staging	U-Net	NIPS	2019
Sleep stage classification	DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal	CNN	J. Neurosci. Methods	2019
Sleep stage classification	Driving fatigue detection from EEG using a modified PCANet method	PCANet, SVM	Comput. Intell. Neurosci.	2019
Sleep stage classification	Detecting abnormal electroencephalograms using deep convolutional networks	CNN	Clin. Neurophysiology	2019
Sleep stage classification	A deep learning approach for real-time detection of sleep spindles	CNN + RNN	J. Neural Eng.	2019
Sleep stage classification	SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach	CNN + RNN	PLoS ONE	2019
Sleep stage classification	Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG	CNN	Comput. Methods Programs Biomed	2019
Sleep stage classification	Sleep Stage Classification Based on EEG Signal by Using EMD and DFA Algorithm	EMD ,DFA	ICRAI	2018
Sleep stage classification	Automatic sleep stage classification using single-channel eeg: Learning sequential features with attention-based recurrent neural networks	A-BiGRU, SVM	IEEE EMBC	2018
Sleep stage classification	Recurrent deep neural networks for real-time sleep stage classification from single channel EEG	CNN, LSTM	Front Comput Neurosc	2018
Sleep stage classification	Deep convolutional network method for automatic sleep stage classification based on neurophysiological signals	CNN, LSTM	CISP-BMEI	2018
Sleep stage classification	DNN filter bank improves 1-max pooling CNN for single-channel EEG automatic sleep stage classification	DNN, CNN	IEEE EMBC	2018
Sleep stage classification	Complex-valued unsupervised convolutional neural networks for sleep stage classification	CNN	Comput Meth Prog Bio	2018
Sleep stage classification	An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank	SVM	Comput. Biol. Med.	2018
Sleep stage classification	A convolutional neural network for sleep stage scoring from raw single-channel EEG	CNN	Biomed Signal Process Control	2018
Sleep stage classification	ResSleepNet: Automatic sleep stage classification on raw single-channel EEG	ResNet	MSE	2018
Sleep stage classification	Complex-valued unsupervised convolutional neural networks for sleep stage classification	CU-CNN	Comput. Methods Programs Biomed.	2018
Sleep stage classification	Neonatal sleep state identification using deep learning autoencoders	GRU	IEEE EMBC	2018
Sleep stage classification	Automatic human sleep stage scoring using deep neural networks	CNN, LSTM	Front. Neurosci.	2018
Sleep stage classification	A novel multi-class EEG-based sleep stage classification system	RF	IEEE Trans. Neural Syst. Rehabil. Eng.	2017
Sleep stage classification	Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring	CNN	IEEE MLSP	2017
Sleep stage classification	A new method for automatic sleep stage classification	FDCCNN	IEEE Trans. Biomed. Circuits Syst.	2017
Sleep stage classification	SLEEPNET: automated sleep staging system via deep learning	CNN, RNN	arXiv	2017
Sleep stage classification	A decision support system for automated identification of sleep stages from single-channel EEG signals	Bagging	Knowledge-Based Systems	2017
Sleep stage classification	DeepSleepNet: A model for automatic sleep stage scoring based on raw single-channel EEG	CNN, BiLSTM	IEEE Trans. Neural Syst. Rehabil. Eng.	2017
Sleep stage classification	Deep learning and insomnia: assisting clinicians with their diagnosis	DNN	IEEE J. Biomed. Health Inform.	2017
Sleep stage classification	Learning sleep stages from radio signals: A conditional adversarial architecture	CNN, RNN	ICML	2017
Sleep stage classification	Time-Frequency Convolutional Neural Network for Automatic Sleep Stage Classification Based on Single-Channel EEG	CNN	IEEE ICTAI	2017
Sleep stage classification	Single-channel EEG sleep stage classification based on a streamlined set of statistical features in wavelet domain	RF	Med Biol Eng Comput	2016
Sleep stage classification	EEG sleep stages classification based on time domain features and structural graph similarity	SGSKM	IEEE Trans. Neural Syst. Rehabil. Eng.	2016
Sleep stage classification	Nonlinear dynamics measures for automated EEG-based sleep stage detection	NDM	Eur Neurol	2016
Sleep stage classification	Automatic classification of sleep stages based on the time-frequency image of EEG signals	MC-LS-SVM	Comput Methods Programs Biomed	2013
Sleep stage classification	Analysis and automatic identification of sleep stages using higher order spectra	GMM	Int J Neural Syst	2010
Brain functionality classification	Is it possible to detect cerebral dominance via EEG signals by using deep learning?	CNN, SVM	Med. Hypotheses	2019
Brain functionality classification	Walking imagery evaluation in brain computer interfaces via a multi-view multi-level deep polynomial network	MMDPN	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Brain functionality classification	Deep Learning Based on Event-Related EEG Differentiates Children with ADHD from Healthy Controls	CNN, RNN	J. Clin. Med.	2019
Brain functionality classification	Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders	EL-SDAE	Comput. Biol. Med.	2019
Brain functionality classification	Assaying neural activity of children during video game play in public spaces: A deep learning approach	CNN	J. Neural Eng.	2019
Brain functionality classification	Learning joint space–time–frequency features for EEG decoding on small labeled data	CNN	Neural Networks	2019
Brain functionality classification	Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods	CNN	Sensors	2019
Brain functionality classification	Validating deep neural networks for online decoding of motor imagery movements from EEG signals	LSTM, CNN, RCNN	Sensors	2019
Brain functionality classification	Spectral and Temporal Feature Learning With Two-Stream Neural Networks for Mental Workload Assessment	CNN, TCN	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Brain functionality classification	On the Vulnerability of CNN Classifiers in EEG-Based BCIs	CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Brain functionality classification	Modelling peri-perceptual brain processes in a deep learning spiking neural network architecture	SNN	Sci. Rep.	2018
Brain functionality classification	Improving Performance of Devanagari Script Input-Based P300 Speller Using Deep Learning	SAE, DCNN	IEEE Trans. Biomed. Eng.	2018
Brain functionality classification	Deep learning enabled automatic abnormal EEG identification	1D-CNN, RNN	IEEE EMBC	2018
Brain functionality classification	A hybrid network for ERP detection and analysis based on restricted Boltzmann machine	CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2018
Brain functionality classification	Deep learning for detection of focal epileptiform discharges from scalp EEG recordings	CNN, RNN	Clin. Neurophysiol.	2018
Brain functionality classification	Learning Spatial–Spectral–Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment	RNN, 3D-CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2018
Brain functionality classification	Learning temporal information for brain-computer interface using convolutional neural networks	RNN, 3D-CNN	IEEE Trans. Neural Networks Learn. Syst.	2018
Brain functionality classification	Prediction of bispectral index during target-controlled infusion of propofol and remifentanil	LSTM	Anesthesiology	2018
Brain functionality classification	DeepMI: Deep Learning for Multiclass Motor Imagery Classification	CNN	IEEE EMBC	2018
Brain disease classification	Early prediction of cognitive impairments using physiological signal for enhanced socioeconomic status	ML	IPM	2022
Brain disease classification	Detection of Epileptic Seizure from EEG Signal Data by Employing Machine Learning Algorithms with Hyperparameter Optimization	ML	IEEE BioSMART	2021
Brain disease classification	Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals	EBDT	Knowledge-Based Systems	2021
Brain disease classification	Feature Extraction to Identify Depression and Anxiety Based on EEG	--	IEEE EMBC	2021
Brain disease classification	Detection of Parkinson’s disease using automated tunable Q wavelet transform technique with EEG signals	ML	BBE	2021
Brain disease classification	Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals	KNN	CMPB	2021
Brain disease classification	Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals	CNN	Expert Systems	2021
Brain disease classification	Aberrant epileptic seizure identification: A computer vision perspective	CNN, LSTM	Seizure	2019
Brain disease classification	A deep learning framework for automatic diagnosis of unipolar depression	1D-CNN, 1D-CNN, LSTM	Int. J. Med. Inform.	2019
Brain disease classification	Automatic analysis of EEGs using big data and hybrid deep learning architectures	HMM, SDAE	Front. Hum. Neurosci.	2019
Brain disease classification	Early Alzheimer’s disease diagnosis based on EEG spectral images using deep learning	DCssCDBM	Neural Networks	2019
Brain disease classification	Early prediction of epileptic seizures using a long-term recurrent convolutional network	CNN, LSTM	J. Neurosci. Methods	2019
Brain disease classification	EEG Classification of Motor Imagery Using a Novel Deep Learning Framework	--	Sensors	2019
Brain disease classification	Deep multi-view feature learning for EEG-based epileptic seizure detection	CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Brain disease classification	EEG-based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features	CNN, VAE	Hum. Brain Mapp.	2019
Brain disease classification	Epilepsy Detection by Using Scalogram Based Convolutional Neural Network from EEG Signals	CNN	Brain Sci.	2019
Brain disease classification	Classification of epileptic EEG recordings using signal transforms and convolutional neural networks	CNN	Comput. Biol. Med.	2019
Brain disease classification	Efficient Epileptic Seizure Prediction based on Deep Learning	CNN, LSTM	IEEETrans.Biomed. Circ. Syst.	2019
Brain disease classification	Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals	LSTM	Clin. Neurophysiol.	2019
Brain disease classification	A multi-domain connectome convolutional neural network for identifying schizophrenia from EEG connectivity patterns	CNN	IEEE J. Biomed. Health Inf.	2019
Brain disease classification	fNIR Simproves seizure detection In multi modal EEG-fNIRS recordings	LSTM	J. Biomed. Opt.	2019
Brain disease classification	Dual deep neural network-based classifiers to detect experimental seizures	LSTM	The Korean Can. J. Physiol. Pharmacol.	2019
Brain disease classification	Automated tracking of level of consciousness and delirium in critical illness using deep learning.	CNN, LSTM	NPJ Digital Med.	2019
Brain disease classification	Wave2Vec: Vectorizing Electroencephalography Bio-Signal for Prediction of Brain Disease	CNN, RNN, DNN	Int. J. Environ. Res. Publ. Health	2018
Brain disease classification	Automated EEG-based screening of depression using deep convolutional neural network	CNN	Comput. Methods Programs Biomed.	2018
Brain disease classification	DeepIED: An epileptic discharge detector for EEG-fMRI based on deep learning	CNN	NeuroImage Clin.	2018
Brain disease classification	Toward simproved design and evaluation of epileptic seizure predictors	CNN	IEEE Trans. Biomed. Eng.	2018
Brain disease classification	Epileptic seizure prediction using big data and deep learning: Toward a mobile system	CNN	EBioMedicine	2018
Brain disease classification	A Long-Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals	LSTM	Comput. Biol. Med.	2018
Brain disease classification	Deep learning applied to whole-brain connectome to determine seizure control after epilepsy surgery	CNN	Epilepsia	2018
Brain disease classification	Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images	CNN	Comput. Biol. Med.	2018
Brain disease classification	Automatic seizure detection using three-dimensional CNN based on multi-channel EEG	CNN	BMC Med. Inf. Decis. Making	2018
Brain disease classification	A Multi-View Deep Learning Framework for EEG Seizure Detection	CNN	IEEE J. Biomed. Health Inf.	2018
Brain disease classification	Confusion State Induction and EEG-based Detection in Learning	CNN	IEEE EMBC	2018
Brain disease classification	Detection of Early Stage Alzheimer’s Disease using EEG Relative Power with Deep Neural Network	CNN	IEEE EMBC	2018
Brain disease classification	Deep classification of epileptic signals	CNN, AE	IEEE EMBC	2018
Emotion classification	SSVEP based Emotion Recognition for IoT via Multiobjective Neural Architecture Search	NN	IEEE JIOT	2022
Emotion classification	Multi-channel EEG-based emotion recognition in the presence of noisy labels	capsule network	SCIS	2022
Emotion classification	Subject independent emotion recognition using EEG signals employing attention driven neural networks	CNN&LSTM	BSPC	2022
Emotion classification	Automated Feature Extraction on AsMap for Emotion Classification Using EEG	CNN	MDPI Sensors	2022
Emotion classification	Emotion Recognition in Conversations Using Brain and Physiological Signals	--	IUI	2022
Emotion classification	EEG-based Emotion Recognition with Feature Fusion Networks	SVM	International Journal of Machine Learning and Cybernetics	2022
Emotion classification	Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection	SVM&NB	IMR Press	2022
Emotion classification	EEG Based Emotion Investigation from Various Brain Region Using Deep Learning Algorithm	LSTM	ICDSMLA	2021
Emotion classification	A multimodal emotion recognition method based on facial expressions and electroencephalography	NN	BSPC	2021
Emotion classification	SFE-Net: EEG-based Emotion Recognition with Symmetrical Spatial Feature Extraction	CNN	ACM ICM	2021
Emotion classification	Expression-EEG Bimodal Fusion Emotion Recognition Method Based on Deep Learning	LSTM	Computational and Mathematical Methods in Medicine	2021
Emotion classification	Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition	CNN	Neurocomputing	2021
Emotion classification	EEG-based human emotion recognition using entropy as a feature extraction measure	ML	Brain Informatics	2021
Emotion classification	Emotion Recognition by Correlating Facial Expressions and EEG Analysis	NN	MDPI Applied Sciences	2021
Emotion classification	Conditional generative adversarial network for EEG-based emotion fine-grained estimation and visualization	AC-GAN	JVCIR	2021
Emotion classification	Variational Instance-Adaptive Graph for EEG Emotion Recognition	GNN	IEEE TAFFC	2021
Emotion classification	EEG-Based Emotion Recognition Using Convolutional Neural Networks	CNN	ICCS	2021
Emotion classification	Fine-Grained Emotion Recognition from EEG Signal Using Fast Fourier Transformation and CNN	CNN	IEEE ICIEV	2021
Emotion classification	A new fractal pattern feature generation function based emotion recognition method using EEG	ML	j.chaos	2021
Emotion classification	Machine Learning-Based Stress Level Detection from EEG Signals	ML	IEEE ICSIMA	2021
Emotion classification	Real-Time EEG-Based Affective Computing Using On-Chip Learning Long-Term Recurrent Convolutional Network	LRCN	IEEE ISCAS	2021
Emotion classification	A novel ensemble learning method using multiple objective particle swarm optimization for subject-independent EEG-based emotion recognition	ensemble learning	Computers in Biology and Medicine	2021
Emotion classification	SparseDGCNN: Recognizing Emotion from Multichannel EEG Signals	CNN	IEEE TAFFC	2021
Emotion classification	A feature-based on potential and differential entropy information for electroencephalogram emotion recognition	RF	Elctronics Letters	2021
Emotion classification	1D-CNN-based BCI system for detecting Emotional states using a Wireless and Wearable 8-channel Custom-designed EEG Headset	CNN	IEEE FLEPS	2021
Emotion classification	Leveraging spatial-temporal convolutional features for EEG-based emotion recognition	CNN	BSPC	2021
Emotion classification	Multi-Modal Emotion Recognition Based On deep Learning Of EEG And Audio Signals	CNN&LSTM	IEEE IJCNN	2021
Emotion classification	Emotion Recognition Using Portable EEG Device	NN	ICAISC	2021
Emotion classification	Facial Expression and EEG Fusion for Investigating Continuous Emotions of Deaf Subjects	LSTM	IEEE JSEN	2021
Emotion classification	Human emotion recognition based on time–frequency analysis of multivariate EEG signal	ML	Knowledge-Based Systems	2021
Emotion classification	EEG Channel Correlation Based Model for Emotion Recognition	CNN	Computers in Biology and Medicine	2021
Emotion classification	A Channel Selection Method for Emotion Recognition From EEG Based on Swarm-Intelligence Algorithms	Swarm-Intelligence	IEEE Access	2021
Emotion classification	Nonlinear classification of emotion from EEG signal based on maximized mutual information	SVM	eswa	2021
Emotion classification	Introducing Attention Mechanism for EEG Signals: Emotion Recognition with Vision Transformers	NN	IEEE EMBC	2021
Emotion classification	Predicting Exact Valence and Arousal Values from EEG	ML	MDPI Sensors	2021
Emotion classification	Emotion recognition based on EEG feature maps through deep learning network	CNN	ESTIJ	2021
Emotion classification	An overlapping sliding window and combined features based emotion recognition system for EEG signals	CNN	Applied Computing and Informatics	2021
Emotion classification	ScalingNet: Extracting features from raw EEG data for emotion recognition	CNN	Neurocomputing	2021
Emotion classification	Constructing an Emotion Estimation Model Based on EEG/HRV Indexes Using Feature Extraction and Feature Selection Algorithms	ML	MDPI Sensors	2021
Emotion classification	EEG-Based Emotion Recognition by Exploiting Fused Network Entropy Measures of Complex Networks across Subjects	ML	MDPI entopy	2021
Emotion classification	Multi-Feature Input Deep Forest for EEG-Based Emotion Recognition	Deep forest	ORIGINAL RESEARCH	2021
Emotion classification	WeDea: A New EEG-Based Framework for Emotion Recognition	ML	IEEE JBHI	2021
Emotion classification	Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals	CNN	Computers in Biology and Medicine	2021
Emotion classification	Emotion Recognition of EEG Signals Based on the Ensemble Learning Method: AdaBoost	AdaBoost	Mathematical Problems in Engineering	2021
Emotion classification	Emotion recognition by deeply learned multi-channel textual and EEG features	SVM	FGCS	2021
Emotion classification	Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals	Ensemble Learning	IMA	2021
Emotion classification	Effects of Data Augmentation Method Borderline-SMOTE on Emotion Recognition of EEG Signals Based on Convolutional Neural Network	CNN	IEEE Access	2021
Emotion classification	Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot	MLP&SVM	BSPC	2021
Emotion classification	EEG-based emotion recognition with deep convolutional neural networks	CNN	Biomedical Engineering	2020
Emotion classification	EEG emotion recognition model based on the LIBSVM classifier	LIBSVM	Measurement	2020
Emotion classification	SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition	3D Dense Network	ACM MM	2020
Emotion classification	EEG-based emotion recognition via channel-wise attention and self attention	CNN, RNN	IEEE Trans. Affect. Comput.	2020
Emotion classification	A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition	TANN	arXiv	2020
Emotion classification	Emotion Recognition under Sleep Deprivation Using a Multimodal Residual LSTM Network	LSTM	IJCNN	2020
Emotion classification	A novel bi-hemispheric discrepancy model for EEG emotion recognition	BiHDM	IEEE TCDS	2020
Emotion classification	Emotion Classification Using EEG Brain Signals and the Broad Learning System	BLS	IEEE Trans. SMC: Systems	2020
Emotion classification	A Multi-Column CNN Model for Emotion Recognition from EEG Signals	CNN	Sensors	2019
Emotion classification	SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG	LSTM	Front Neurorobotics	2019
Emotion classification	Learning CNN features from DE features for EEG-based emotion recognition	CNN	Pattern Anal Appl	2019
Emotion classification	Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models	CNN	arXiv	2019
Emotion classification	Using the center loss function to improve deep learning performance for EEG signal classification.	CNN, LSTM	ICACI	2019
Emotion classification	Accurate EEG-Based Emotion Recognition on Combined Features Using Deep Convolutional Neural Networks	CNN	IEEE Access	2019
Emotion classification	Subject-Independent Emotion Recognition During Music Listening Based on EEG Using Deep Convolutional Neural Networks	CNN	CSPA	2019
Emotion classification	EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations	PLV	IEEE Trans. Biomed. Eng.	2019
Emotion classification	EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks and Broad Learning System	DGCNN, BLS	BIBM	2019
Emotion classification	Emotion Recognition from Multiband EEG Signals Using CapsNet	CapsNet	Sensors	2019
Emotion classification	Fear Level Classification Based on Emotional Dimensions and Machine Learning Techniques	DNN	Sensors	2019
Emotion classification	Recognition of emotions using multichannel EEG data and DBN-GC-based ensemble deep learning framework	DBN	Comput. Intell. Neurosci.	2018
Emotion classification	A Bi-hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition	LSTM	IEEE Trans. Affect. Comput.	2018
Emotion classification	Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition	CNN	ICONIP	2018
Emotion classification	EEG Emotion Recognition Based on Granger Causality and CapsNet Neural Network.	CNN	CCIS	2018
Emotion classification	EEG Emotion Classification Based On Baseline Strategy	CNN	CCIS	2018
Emotion classification	Cross-corpus EEG-based emotion recognition	CNN	MLSP	2018
Emotion classification	Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features	GRU	ICCSIP	2018
Emotion classification	On the influence of affect in EEG-based subject identification	AdaBOOST	IEEE Trans. Affect. Comput.	2018
Emotion classification	Empirical Evidence Relating EEG Signal Duration to Emotion Classification Performance	HOC's	IEEE Trans. Affect. Comput.	2018
Emotion classification	A recurrence quantification analysis-based channel-frequency convolutional neural network for emotion recognition from EEG	CFCNN, RQA	Chaos	2018
Emotion classification	Data Encoding Visualization Based Cognitive Emotion Recognition with AC-GAN Applied for Denoising	GAN	ICCI* CC	2018
Emotion classification	EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition	CNN	IJCNN	2018
Emotion classification	Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network	CNN, RNN	IJCNN	2018
Emotion classification	A mutual information based adaptive windowing of informative EEG for emotion recognition	Window Selection	IEEE Trans. Affect. Comput.	2018
Emotion classification	Convolutional neural network approach for EEG-based emotion recognition using brain connectivity and its spatial information	CNN	ICASSP	2018
Emotion classification	EEG emotion recognition using dynamical graph convolutional neural networks	DGCNN	IEEE Trans. Affect. Comput.	2018
Emotion classification	Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks	CNN	ICCAI	2018
Emotion classification	Data augmentation for eeg-based emotion recognition with deep convolutional neural networks	SVM / LeNet /ResNet	ICMM	2018
Emotion classification	Spatial–Temporal Recurrent Neural Network for Emotion Recognition	RNN	IEEE transactions on cybernetics	2018
Emotion classification	EEG-Based Emotion Recognition using 3D Convolutional Neural Networks	CNN	Int. J. Adv. Comput. Sci. Appl	2018
Emotion classification	Electroencephalography based fusion two-dimensional (2D)-convolution neural networks (CNN) model for emotion recognition system	2D-CNN	Sensors	2018
Emotion classification	Spatial–temporal recurrent neural network for emotion recognition	RNN	IEEE Trans. Cybern.	2018
Emotion classification	Emotionmeter: A multimodal framework for recognizing human emotions	RBM	IEEE Trans. Cybern.	2018
Emotion classification	A Robust Low-Cost EEG Motor Imagery-Based Brain-Computer Interface	CNN	IEEE EMBC	2018
Emotion classification	Arousal and Valence Classification Model Based on Long Short-Term Memory and DEAP Data for Mental Healthcare Management	LSTM	Healthcare Inf. res.	2018
Emotion classification	Hierarchical convolutional neural networks for EEG-based emotion recognition	CNN	Cognit Comput	2017
Emotion classification	Emotions Recognition Using EEG Signals: A Survey	Survey	IEEE Trans. Affect. Comput.	2017
Emotion classification	Identifying Stable Patterns over Time for Emotion Recognition from EEG	GRELM	IEEE Trans. Affect. Comput.	2017
Emotion classification	Using deep and convolutional neural networks for accurate emotion classification on DEAP dataset	DNN, CNN	AAAI	2017
Emotion classification	Gaussian process dynamical models for multimodal affect recognition	SVM	IEEE EMBC	2016
Emotion classification	Multimodal Emotion Recognition Using Multimodal Deep Learning	DAE	arXiv	2016
Emotion classification	Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection	RNN, CCRF	IEEE Trans. Affect. Comput.	2015
Emotion classification	Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks	DBN	IEEE transactions on cybernetics	2015
Emotion classification	Eeg-based emotion recognition using deep learning network with principal component based covariate shift adaptation	CNN	IEEE CAMSAP	2015
Emotion classification	A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals	ST, AL	IEEE ICBB	2014
Emotion classification	Eeg-based emotion classification using deep belief networks	DBN	ICIC	2014
Gender classification	Predicting sex from brain rhythms with deep learning	CNN	Sci. Rep.	2018
Words classification	Recognition of words from brain-generated signals of speech-impaired people: Application of autoencoders as a neural Turing machine controller in deep neural networks	DN-AE-NTM	Neural Networks	2019
Age classification	Machine learning for MEG during speech tasks	CNN	Sci. Rep.	2019
Personality Classification	A Deep LSTM Model for Personality Traits Classification Using EEG Signals	LSTM	IETE Journal of Research	2021
EEG decoding and visualization	Deep learning with convolutional neural networks for EEG decoding and visualization	AE	IEEE CSPA	2017
EEG Classification	Extended ICA and M-CSP with BiLSTM towards improved classification of EEG signals	LSTM	Soft Computing	2022
EEG Classification	A Deep Learning Approach for Brain Computer Interaction-Motor Execution EEG Signal Classification	ML	IEEE Access	2021
EEG Classification	EEG Classification by Factoring in Sensor Spatial Configuration	SVM&KNN	IEEE Access	2021
Epileptogenicity localization	Deep learning with edge computing for localization of epileptogenicity using multimodal rs-fmri and EEG big data	CNN	Hum. Brain Mapp.	2017
Decoding excited movements	Designing and understanding convolutional networks for decoding executed movements from eeg	CNN	IEEE ICAC	2017
Butcome prediction for patients with a postanoxic coma after cardiac arrest	Deep learning for outcome prediction of postanoxic coma	CNN	BNTC	2017
Discriminate brain activity	Deep learning human mind for automated visual classification	CNN	EMBEC & NBC	2017
BCI	Truenorth-enabled real-time classification of EEG data for brain-computer interfacing	CNN	CVPR	2017
BCI	Decoding EEG and lfp signals using deep learning: heading truenorth	CNN	Signal Process. Image Commun.	2016
Seizure detection	Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals	CNN	IEEE EMBC	2017
Tracking of neural dynamics	Brain activity recognition with a wearable fnirs using neural networks	RBM	IEEE Trans. Neural Syst. Rehabil. Eng.	2017
Prediction of driver’s cognitive performance	Eeg-based prediction of driver’s cognitive performance by deep convolutional neural network	CNN, DNN	IEEE ICMA	2017
Response representation	Deep learning EEG response representation for brain computer interface	CNN	ACM CF	2016
Prediction of driver’s cognitive performance	Prediction of driver’s drowsy and alert states from EEG signals with deep learning	CNN	CCC	2015
Feature extraction	An improved feature extraction algorithms of EEG signals based on motor imagery brain-computer interface	ERS	AEJ	2022
Feature extraction	Automated Characterization of Cyclic Alternating Pattern Using Wavelet-Based Features and Ensemble Learning Techniques with EEG Signals	EBagT	MDPI Diagnostics	2021
Feature extraction	Convolutional deep belief networks for feature extraction of EEG signal	RBM	IEEE BIBE	2014
Detecting target images	A deep learning method for classification of images rsvp events with EEG data	CNN	IJCNN	2014
Epileptic seizure prediction	Comparing svm and convolutional networks for epileptic seizure prediction from intracranial eeg	DBN	GlobalSIP	2013
Cognitive Ability	Measuring the Impacts of Virtual Reality Games on Cognitive Ability Using EEG Signals and Game Performance Data	LSTM	IEEE Access	2021
Drowsiness Detection	Convolutional Neural Network for Drowsiness Detection Using EEG Signals	CNN	MDPI Sensors	2021
Drowsiness Detection	Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning	CNN&RNN	IEEE EUSIPCO	2021
Stress classification	Validation of a Light EEG-Based Measure for Real-Time Stress Monitoring during Realistic Driving	RF	MDPI Brain Sciences	2022
Stress classification	Evolutionary inspired approach for mental stress detection using EEG signal	SVM	ESWA	2022
Stress classification	EEG Based Evaluation of Examination Stress and Test Anxiety Among College Students	CNN	IRBM	2021
Stress classification	Human stress classification during public speaking using physiological signals	SVM	Computers in Biology and Medicine	2021
Fatigue detection	Detecting driver mental fatigue based on Electroencephalogram (EEG) signals during simulated driving	ML	IOP Conf	2021
Fatigue detection	Detection of Train Driver Fatigue and Distraction Based on Forehead EEG: A Time-Series Ensemble Learning Method	Ensemble Learning	IEEE TITS	2021
Fatigue detection	Complex networks and deep learning for EEG signal analysis	--	Cognitive Neurodynamics	2021
Fatigue detection	Driver fatigue detection based on prefrontal EEG using multi-entropy measures and hybrid model	--	BSPC	2021
Sleep-Arousal Detection	EEG Signal Multichannel Frequency-Domain Ratio Indices for Drowsiness Detection Based on Multicriteria Optimization	ML	MDPI Sensors	2021
Sleep-Arousal Detection	Automatic Sleep-Arousal Detection with Single-Lead EEG Using Stacking Ensemble Learning	CNN	MDPI Sensors	2021
Others	Detection of alertness-related EEG signals based on decision fused BP neural network	NN	BSPC	2022
Others	Recognition of the Mental Workloads of Pilots in the Cockpit Using EEG Signals	NN	MDPI applied sciences	2022
Others	Deep Learning with ConvNet Predicts Imagery Tasks Through EEG	CNN	eural Processing Letters	2021
Others	Automated ASD detection using hybrid deep lightweight features extracted from EEG signals	SVM	Computers in Biology and Medicine	2021
Others	Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network	CNN	Expert Systems with Applications	2021
Others	Dynamic Graph Modeling Of Simultaneous EEG And Eye-Tracking Data For Reading Task Identification	CNN	IEEE ICASSP	2021
Others	EEG-Based Personality Prediction Using Fast Fourier Transform and DeepLSTM Model	LSTM	Computational Intelligence and Neuroscience	2021
Others	Classification of construction hazard-related perceptions using: Wearable electroencephalogram and virtual reality	ML	Automation in Construction	2021
Others	A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG	CNN	Methods	2021
Others	Correlation between Situational Awareness and EEG signals	ML	Neurocomputing	2020

ECG

Task/Application	Title	Model	Publication	Year
Disease Detection	MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks	MLP-Mixer neural networks	BSPC	2022
Disease Detection	Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals	bagged tree classifier	compbiomed	2022
Disease Detection	Physiological Signals Based Anxiety Detection Using Ensemble Machine Learning	ML	Cyber Intelligence and Information Retrieval	2021
Disease Detection	An Adaptive Weight Learning-Based Multitask Deep Network for Continuous Blood Pressure Estimation Using Electrocardiogram Signals	MLP	MDPI Sensors	2021
Disease Detection	Accurate detection of myocardial infarction using non linear features with ECG signals	Ensemble Learning	Journal of Ambient Intelligence and Humanized Computing	2021
Disease Detection	Real-time ECG signal pre-processing and neuro fuzzy-based CHD risk prediction	ML	International Journal of Computational Science and Engineering	2021
Disease Detection	AI-Enabled Algorithm for Automatic Classification of Sleep Disorders Based on Single-Lead Electrocardiogram	CNN	MDPI Diagnostics	2021
Disease Detection	A Novel Deep Learning based Gated Recurrent Unit with Extreme Learning Machine for Electrocardiogram (ECG) Signal Recognition	GRU&ELM	BSPC	2021
Disease Detection	Ml–resnet: a novel network to detect and locate myocardial infarction using 12 leads ECG	CNN	Comput. Methods Progr. Biomed.	2020
Disease Detection	Multi-branch fusion network for myocardial infarction screening from 12-lead ECG images	CNN	Comput. Methods Progr. Biomed.	2020
Disease Detection	Transfer learning in ECG classification from human to horse using a novel parallel neural network architecture	CNN	Sci. Rep.	2020
Disease Detection	Heartbeat classification using deep residual convolutional neural network from 2-lead electrocardiogram	CRNN	J. Electrocardiol.	2020
Disease Detection	Mfb-cbrnn: a hybrid network for mi detection using 12-lead ECGs	CRNN	IEEE J. Biomed. Health Inf.	2020
Disease Detection	Single-modal and multi-modal false arrhythmia alarm reduction using attention-based convolutional and recurrent neural networks	CRNN	PloS One	2020
Disease Detection	Detection of strict left bundle branch block by neural network and a method to test detection consistency	NN with Expert Features	Physiological Measurement	2020
Disease Detection	I-vector based patient adaptation of deep neural networks for automatic heartbeat classification	FC & Others	IEEE J. Biomed. Health Inf.	2020
Disease Detection	Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram	CNN	Nat. Med.	2019
Disease Detection	Classification of myocardial infarction with multi-lead ECG signals and deep cnn	CNN	Pattern Recogn. Lett.	2019
Disease Detection	Deep learning to automatically interpret images of the electrocardiogram: do we need the raw samples?	CNN	J. Electrocardiol.	2019
Disease Detection	Accurate detection of atrial fibrillation from 12-lead ECG using deep neural network	CNN	Comput. Biol. Med.	2019
Disease Detection	Atrial fibrillation detection using an improved multi-scale decomposition enhanced residual convolutional neural network	CNN	IEEE Access	2019
Disease Detection	A novel deep arrhythmia-diagnosis network for atrial fibrillation classification using electrocardiogram signals	CNN	IEEE Access	2019
Disease Detection	Spectro-temporal feature based multi-channel convolutional neural network for ECG beat classification	CNN	IEEE EMBC	2019
Disease Detection	Real-time detection of acute cognitive stress using a convolutional neural network from electrocardiographic signal	CNN	IEEE Access	2019
Disease Detection	Automatic cardiac arrhythmia classification using combination of deep residual network and bidirectional lstm	CNN	IEEE Access	2019
Disease Detection	Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings	CNN	Physiol. Meas.	2019
Disease Detection	Ecg arrhythmia classification using stft-based spectrogram and convolutional neural network	CNN	IEEE Access	2019
Disease Detection	Atrial fibrillation prediction with residual network using sensitivity & orthogonality constraints	CNN	IEEE JBHI	2019
Disease Detection	A novel multi-module neural network system for imbalanced heartbeats classification	CNN	Expert Syst. Appl. X	2019
Disease Detection	An automatic system for real-time identifying atrial fibrillation by using a lightweight convolutional neural network	CNN	IEEE access	2019
Disease Detection	Automated heartbeat classification exploiting convolutional neural network with channel-wise attention	CNN	IEEE access	2019
Disease Detection	Automated heartbeat classification using 3-d inputs based on convolutional neural network with multi-fields of view	CNN	IEEE access	2019
Disease Detection	Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network	CNN	Physiol. Meas.	2019
Disease Detection	Classification of atrial fibrillation recurrence based on a convolution neural network with svm architecture	CNN	IEEE Access	2019
Disease Detection	Assessing and mitigating bias in medical artificial intelligence: the effects of race and ethnicity on a deep learning model for ECG analysis	CNN	CIRC-ARRHYTHMIA ELEC	2019
Disease Detection	Densely connected convolutional networks for detection of atrial fibrillation from short single-lead ECG recordings	CNN	J. Electrocardiol.	2019
Disease Detection	A robust deep convolutional neural network with batch-weighted loss for heartbeat classification	CNN	Expert Syst. Appl.	2019
Disease Detection	Developing convolutional neural networks for deep learning of ventricular action potentials to predict risk for ventricular arrhythmias	CNN	Circulation	2019
Disease Detection	Detecting and Interpreting Myocardial Infarction Using Fully Convolutional Neural Networks	CNN	Physiological measurement	2019
Disease Detection	Morphological Arrhythmia Automated Diagnosis Method Using Gray-Level Co-occurrence Matrix Enhanced Convolutional Neural Network	CNN	IEEE Access	2019
Disease Detection	Cardiovascular disease diagnosis using cross-domain transfer learning	CNN	IEEE EMBC	2019
Disease Detection	Fetal electrocardiography and deep learning for prenatal detection of congenital heart disease	CNN	CinC	2019
Disease Detection	Early and Remote Detection of Possible Heartbeat Problems with Convolutional Neural Networks and Multipart Interactive Training	CNN	IEEE Access	2019
Disease Detection	A deep learning method to detect atrial fibrillation based on continuous wavelet transform	CNN	IEEE EMBC	2019
Disease Detection	A novel wearable electrocardiogram classification system using convolutional neural networks and active learning	CNN	IEEE Access	2019
Disease Detection	Pvc recognition for wearable ECGs using modified frequency slice wavelet transform and convolutional neural network	CNN	CinC	2019
Disease Detection	Beatgan: anomalous rhythm detection using adversarially generated time series	CNN	IJCAI	2019
Disease Detection	Pgans: personalized generative adversarial networks for ECG synthesis to improve patient-specific deep ECG classification	RNN	AAAI	2019
Disease Detection	Interpretability analysis of heartbeat classification based on heartbeat activity's global sequence features and bilstm-attention neural network	RNN	IEEE Access	2019
Disease Detection	Automatic Classification of Cad Ecg Signals with Sdae and Bidirectional Long Short-Term Term Network	RNN	IEEE Access	2019
Disease Detection	A parallel GRU recurrent network model and its application to multi-channel time-varying signal classification	RNN	IEEE Access	2019
Disease Detection	Localization of myocardial infarction with multi-lead bidirectional gated recurrent unit neural network	RNN	IEEE Access	2019
Disease Detection	Dense convolutional networks with focal loss and image generation for electrocardiogram classification	CRNN	IEEE Access	2019
Disease Detection	A deep learning approach for real-time detection of atrial fibrillation	CRNN	Expert Syst. Appl.	2019
Disease Detection	Deepheart: semi-supervised sequence learning for cardiovascular risk prediction	CRNN	AAAI	2019
Disease Detection	Mina: multilevel knowledge-guided attention for modeling electrocardiography signals	CRNN	IJCAI	2019
Disease Detection	Detection of first-degree atrioventricular block on variable-length electrocardiogram via a multimodal deep learning method	CRNN	CinC	2019
Disease Detection	Dual-input neural network integrating feature extraction and deep learning for coronary artery disease detection using electrocardiogram and phonocardiogram	CRNN	IEEE Access	2019
Disease Detection	A lstm and cnn based assemble neural network framework for arrhythmias classification	CRNN	ICASSP	2019
Disease Detection	Inter-and intra-patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach	CRNN	ICASSP	2019
Disease Detection	Deep ensemble detection of congestive heart failure using short-term rr intervals	CRNN	IEEE Access	2019
Disease Detection	Ecg arrhythmias detection using auxiliary classifier generative adversarial network and residual network	CRNN	IEEE Access	2019
Disease Detection	Pay attention and watch temporal correlation: a novel 1-d convolutional neural network for ECG record classification	CRNN	Physiol. Meas.	2019
Disease Detection	Feature enrichment based convolutional neural network for heartbeat classification from electrocardiogram	CRNN	IEEE Access	2019
Disease Detection	K-margin-based residual-convolution-recurrent neural network for atrial fibrillation detection	CRNN	IJCAI	2019
Disease Detection	Automated detection and localization of myocardial infarction with staked sparse autoencoder and treebagger	AE	IEEE Access	2019
Disease Detection	A probabilistic process neural network and its application in ECG classification	FC & Others	IEEE Access	2019
Disease Detection	Detection of atrial fibrillation and other abnormal rhythms from ECG using a multi-layer classifier architecture	FC & Others	Physiol. Meas.	2019
Disease Detection	Electrocardiographic screening for atrial fibrillation while in sinus rhythm using deep learning	CNN	Circulation	2018
Disease Detection	Deep learning to detect atrial fibrillation from short noisy ECG segments measured with wireless sensors	CNN	Circulation	2018
Disease Detection	Ecg classification using three-level fusion of different feature descriptors	CNN	Expert Syst. Appl.	2018
Disease Detection	A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable length	CNN	Physiol. Meas.	2018
Disease Detection	Patient-specific ECG classification by deeper cnn from generic to dedicated	CNN	Neurocomputing	2018
Disease Detection	Combining convolutional neural network and distance distribution matrix for identification of congestive heart failure	CNN	IEEE Access	2018
Disease Detection	Real-time multilead convolutional neural network for myocardial infarction detection	CNN	IEEE JBHI	2018
Disease Detection	Preprocessing method for performance enhancement in cnn-based stemi detection from 12-lead ECG	CNN	IEEE Access	2018
Disease Detection	Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation	CNN	Physiol. Meas.	2018
Disease Detection	Densely connected convolutional networks and signal quality analysis to detect atrial fibrillation using short single-lead ECG recordings	CNN	CinC	2018
Disease Detection	Ambulatory atrial fibrillation monitoring using wearable photoplethysmography with deep learning	CNN	KDD	2018
Disease Detection	A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms	CNN	Physiol. Meas.	2018
Disease Detection	Monitoring significant st changes through deep learning	CNN	J. Electrocardiol.	2018
Disease Detection	Ecg signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network	CNN	Physiol. Meas.	2018
Disease Detection	Automated ECG classification using dual heartbeat coupling based on convolutional neural network	CNN	IEEE Access	2018
Disease Detection	AF detection by exploiting the spectral and temporal characteristics of ECG signals with the lstm model	RNN	CinC	2018
Disease Detection	A generative modeling approach to limited channel ECG classification	RNN	IEEE EMBC	2018
Disease Detection	Abductive reasoning as a basis to reproduce expert criteria in ECG atrial fibrillation identification	RNN	Physiol. Meas.	2018
Disease Detection	Premature ventricular contraction detection from ambulatory ECG using recurrent neural networks	RNN	IEEE EMBC	2018
Disease Detection	Automated detection of atrial fibrillation using long short-term memory network with rr interval signals	CRNN	Comput. Biol. Med.	2018
Disease Detection	Generalization studies of neural network models for cardiac disease detection using limited channel ECG	CRNN	CinC	2018
Disease Detection	Detection of paroxysmal atrial fibrillation using attention-based bidirectional recurrent neural networks	CRNN	KDD	2018
Disease Detection	Ensembling convolutional and long short-term memory networks for electrocardiogram arrhythmia detection	CRNN	Physiol. Meas.	2018
Disease Detection	Bidirectional recurrent neural network and convolutional neural network (bircnn) for ECG beat classification	CRNN	IEEE EMBC	2018
Disease Detection	Classification of atrial fibrillation using stacked auto encoders neural networks	AE	CinC	2018
Disease Detection	An automatic cardiac arrhythmia classification system with wearable electrocardiogram	AE	IEEE Access	2018
Disease Detection	Parallel use of a convolutional neural network and bagged tree ensemble for the classification of holter ECG	NN with Expert Features	Physiol. Meas.	2018
Disease Detection	A 10-RR-interval-based rhythm classifier using a deep neural network	FC & Others	Circulation	2018
Disease Detection	Artificial intelligence detects pediatric heart murmurs with cardiologist-level accuracy	FC & Others	Circulation	2018
Disease Detection	Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ECG	CNN	CinC	2017
Disease Detection	Atrial fibrillation detection using feature based algorithm and deep convolutional neural network	CNN	CinC	2017
Disease Detection	Encase: an ensemble classifier for ECG classification using expert features and deep neural networks	CNN	CinC	2017
Disease Detection	Personalized monitoring and advance warning system for cardiac arrhythmias	CNN	Sci. Rep.	2017
Disease Detection	Atrial fibrillation detection and ECG classification based on convolutional recurrent neural network	CNN	CinC	2017
Disease Detection	Atrial fibrillation detection using stationary wavelet transform and deep learning	CNN	CinC	2017
Disease Detection	Robust ECG signal classification for detection of atrial fibrillation using a novel neural network	CNN	CinC	2017
Disease Detection	Atrial fibrillation classification using qrs complex features and lstm	RNN	CinC	2017
Disease Detection	Beat by beat: classifying cardiac arrhythmias with recurrent neural networks	RNN	CinC	2017
Disease Detection	Cardiovascular risk stratification using off-the-shelf wearables and a multi-task deep learning algorithm	CRNN	Circulation	2017
Disease Detection	Cardiac arrhythmia detection from ECG combining convolutional and long short-term memory networks	CRNN	CinC	2017
Disease Detection	Convolutional recurrent neural networks for electrocardiogram classification	CRNN	CinC	2017
Disease Detection	ECG monitoring system integrated with ir-uwb radar based on cnn	CNN	IEEE Access	2016
Disease Detection	Convolutional neural networks for patient-specific ECG classification	CNN	IEEE EMBC	2015
Heart beat classification	ECG-based machine-learning algorithms for heartbeat classification	ML	Scientific Reports	2021
Heart beat classification	HeartNetEC: a deep representation learning approach for ECG beat classification	--	Biomedical Engineering Letters	2021
Heart beat classification	Automated ECG classification based on 1D deep learning network	CNN&LSTM	CMPB	2021
Heart beat classification	Tele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study	CNN	J. Electrocardiol.	2019
Heart beat classification	ECG anomaly class identification using LSTM and error profile modeling	LSTM+SVM, LSTM+MLR, LSTM+MLP	Comput. Biol. Med.	2019
Heart beat classification	A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation	CNN	J. Electrocardiol.	2019
Heart beat classification	Detection of congestive heart failure based on LSTM-based deep network via short-term RR intervals.	LSTM	Sensors	2019
Heart beat classification	A novel ECG signal compression method using spindle convolutional auto-encoder	AE	Comput. Methods Programs Biomed.	2019
Heart beat classification	A new deep learning model for assisted diagnosis on electrocardiogram	CNN+BRNN	Math. Biosci. Eng. MBE	2019
Heart beat classification	LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices	LSTM	IEEE J. Biomed. Health Inf.	2019
Heart beat classification	Electrocardiogram Beat-Classification Based on a ResNet Network	CNN	Stud. Health technol. Inf.	2019
Heart beat classification	Deep Learning Based Patient-Specific Classification of Arrhythmia on ECG signal	CNN	IEEE EMBC	2019
Heart beat classification	Inter-Patient ECG Classification with Symbolic Representations and Multi-Perspective Convolutional Neural Networks	CNN	IEEE J. Biomed. Health Inf.	2019
Heart beat classification	Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction	CNN	J. Cardiovascu Electrophysiol.	2019
Heart beat classification	A Novel Approach for Multi-Lead ECG Classification Using DL-CCANet and TL-CCANet	DL-CCANet, TL-CCANet	Sensors	2019
Heart beat classification	Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model	CNN	Healthcare Inf. Res.	2019
Heart beat classification	Intelligent deep models based on scalograms of electrocardiogram signals for biometrics	ResNet	Sensors	2019
Heart beat classification	Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia	1D-CNN+ LSTM	PLoS ONE	2019
Heart beat classification	Automated Agatston score computation in non-ECG gated CT scans using deep learning	CNN	In Proceedings of the Medical Imaging	2018
Heart beat classification	Detecting atrial fibrillation by deep convolutional neural networks	STFT+CNN, SWT+CNN	Comput. Biol. Med.	2018
Heart beat classification	Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals	LSTM+CNN	Comput. Biol. Med.	2018
Heart beat classification	Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study	CNN	PLoS ONE	2018
Heart beat classification	Towards end-to-end ECG classification with raw signal extraction and deep neural networks	CNN+RBM	IEEE J. Biomed. Health Inf.	2018
Heart beat classification	A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification	DBLSTM-WS	Comput. Biol. Med.	2018
Heart beat classification	Classification of Premature Ventricular Contraction using Error Back-Propagation	EBR	KSII Trans. Internet Inf. Syst.	2018
Heart beat classification	A novel application of deep learning for single-lead ECG classification	RBM+DBM	Comput. Biol. Med.	2018
Heart beat classification	Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning Approach	CNN	IEEE EMBC	2018
Heart beat classification	Region Aggregation Network: Improving Convolutional Neural Network for ECG Characteristic Detection	CNN+RA	IEEE EMBC	2018
Heart beat classification	Patient-specific deep architectural model for ECG classification	DNN	J. HealthBSPCcare Eng.	2017
Heart beat classification	A deep convolutional neural network model to classify heartbeats	CNN	CompBut. Biol. Med.	2017
Heart beat classification	Real-time patient-specific ECG classification by 1-d convolutional neural networks	CNN	IEEE Trans. Biomed. Eng.	2016
Arrhythmia classification	12-Lead ECG arrhythmia classification using cascaded convolutional neural network and expert feature	CNN	artmed	2021
Arrhythmia classification	Convolutional squeeze-and-excitation network for ECG arrhythmia detection	CNN	jelectrocard	2021
Arrhythmia classification	Robust greedy deep dictionary learning for ECG arrhythmia classification	Robust deep dictionary learning	IJCNN	2017
Arrhythmia classification	Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network	CNN	Inf. Sci.	2017
Coronary artery disease detection	Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network	CNN	Future Gener. Comput. Syst.	2017
Coronary artery disease detection	Time series classification using multi-channels deep convolutional neural networks	CNN	WAIM	2014
Myocardial infarction Detection	Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals	CNN	Inf. Sci.	2017
Features for Screening Paroxysmal Atrial Fibrillatio	Deep convolutional neural networks and learning ECG features for screening paroxysmal atrial fibrillation patients	CNN	IEEE Trans. Syst. Man Cybern.Syst.	2017
Fetal-ECG signal reconstruction	A deep learning approach to fetal-ECG signal reconstruction	Stacked Denoising Autoencoder	IEEE NCC	2016
Identification of ventricular arrhythmias	Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: a comparative study	CNN	Inf. Sci.	2017
Monitoring and detecting atrial fibrillation	A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology	CNN	IEEE EMBS BHI	2017
Heart disease classification	ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors	LSTM&MLP	IEEE TBCAS	2022
Heart disease classification	Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals	CNN	Computers in Biology and Medicine	2021
Heart disease classification	Localization of myocardial infarction with multi-lead ECG based on DenseNet	MLP	CMPB	2021
Heart disease classification	Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm	--	CMPB	2021
Heart disease classification	A Comparative Study of Myocardial Infarction Detection from ECG Data Using Machine Learning	ML	Advanced Computing and Intelligent Technologies	2021
Heart disease classification	Constrained transformer network for ECG signal processing and arrhythmia classification	CNN	BMC Medical Informatics and Decision Making	2021
Heart disease classification	Applying Machine Learning Classifiers on ECG Dataset for Predicting Heart Disease	ML	IEEE ACMI	2021
Heart disease classification	Deep Learning Framework with ECG Feature-Based Kernels for Heart Disease Classification	NN	SIGNAL TECHNOLOGY	2021
Heart disease classification	Intellectual heartbeats classification model for diagnosis of heart disease from ECG signal using hybrid convolutional neural network with GOA	CNN	N Applied Sciences	2021
Heart disease classification	Heart disease detection using deep learning methods from imbalanced ECG samples	GAN&LSTM	BSPC	2021
Heart disease classification	Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets	CNN&LSTM	BSPC	2021
Heart disease classification	DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time	RNN	j.artmed	2021
Heart disease classification	A novel hybrid deep learning method with cuckoo search algorithm for classification of arrhythmia disease using ECG signals	NN&SVM	Neural Computing and Applications	2021
Heart disease classification	Ensemble Learning for Atrial Fibrillation Screening from a Single Lead ECG Wave of Wearable Devices	Ensemble Learning	IEEE ICFTIC	2021
Heart disease classification	AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals	CNN&LSTM	Computers in Biology and Medicine	2021
Heart disease classification	Atrial fibrillation detection based on multi-feature extraction and convolutional neural network for processing ECG signals	CNN	CMPB	2021
Heart disease classification	A new approach for arrhythmia classification using deep coded features and LSTM networks	AE+LSTM	Comput. Methods Programs Biomed.	2019
Heart disease classification	Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal	CNN	J. Korean Med. Sci.	2019
Heart disease classification	Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types	AE+U-net	Comput. Biol. Med.	2019
Heart disease classification	Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network	CNN	Nat. Med.	2019
Heart disease classification	Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals	1D-CNN	Comput. Biol. Med.	2019
Heart disease classification	Electrocardiogram Classification Based on Faster Regions with Convolutional Neural Network	Faster RCNN	Sensors	2019
Heart disease classification	Serial electrocardiography to detect newly emerging or aggravating cardiac pathology: A deep-learning approach	CNN	Biomed. Eng. Online	2019
Heart disease classification	Deep ECG-Respiration Network (DeepER Net) for Recognizing Mental Stress	CNN+LSTM	Sensors	2019
Heart disease classification	Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats	CNN+LSTM	Comput. Biol. Med.	2018
Heart disease classification	LiteNet: Lightweight neural network for detecting arrhythmias at resource-constrained mobile devices	CNN	Sensors	2018
Heart disease classification	Cardiac arrhythmia classification by multi-layer perceptron and convolution neural networks	MLP, CNN	Bioengineering	2018
Heart disease classification	Arrhythmia detection using deep convolutional neural network with long duration ECG signals	1D-CNN	Comput. Biol. Med.	2018
Heart disease classification	A deep learning approach to examine ischemic ST changes in ambulatory ECG recordings	CNN	AMIA Summits Transl. Sci. Proc.	2018
Heart disease classification	Classification of Heart Diseases Based On ECG Signals Using Long Short-Term Memory	LSTM	IEEE EMBC	2018
Heart disease classification	Deep Feature Learning for Sudden Cardiac Arrest Detection in Automated External Defibrillators	CNN	Sci. Rep.	2018
Sleep stage classification	Deep Convolutional Recurrent Model for Automatic Scoring Sleep Stages Based on Single-Lead ECG Signal	RNN	MDPI diagnostics	2022
Sleep stage classification	Deep adaptation network for subject-specific sleep stage classification based on a single-lead ECG	--	BSPC	2022
Sleep stage classification	Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data	ELM	Journal of Big Data	2021
Sleep stage classification	Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals	SVM	Computers in Biology and Medicine	2021
Sleep stage classification	Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram	CNN	Comput. Methods Progr. Biomed.	2019
Sleep stage classification	A multi-class automatic sleep staging method based on long short-term memory network using single-lead electrocardiogram signals	RNN	IEEE Access	2019
Sleep stage classification	A RR interval based automated apnea detection approach using residual network	CNN	Comput. Methods Programs Biomed.	2019
Sleep stage classification	A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement	CNN	Sensors	2019
Sleep stage classification	Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network	CNN	PeerJ	2019
Sleep stage classification	Sleep-wake classification via quantifying heart rate variability by convolutional neural network	CNN	Physiol. Meas.	2018
Sleep stage classification	Multiclass classification of obstructive sleep apnea/hypopnea based on a convolutional neural network from a single-lead electrocardiogram	CNN	Physiol. Meas.	2018
Sleep stage classification	A method to detect sleep apnea based on deep neural network and hidden markov model using single-lead ECG signal	AE	Neurocomputing	2018
Sleep stage classification	Obstructive sleep apnoea detection using convolutional neural network based deep learning framework	CNN	Biomed. Eng. lett.	2018
Age and gender prediction	Sex Differences in the ECG Interpretation: a Functional Data Analysis Perspective	cluster	IEEE RTSI	2021
Age and gender prediction	Age and sex estimation using artificial intelligence from standard 12-lead ECGs	CNN	Circ. Arrhythmia Electrophysiol.	2019
ECG identification	Electrocardiogram signals-based user authentication systems using soft computing techniques	SVM	Artificial Intelligence Review	2021
ECG identification	PlexNet: A fast and robust ECG biometric system for human recognition	CNN&MLP	Information Sciences	2021
ECG identification	ECG based identification by deep learning	DNN	CCBR	2017
Emotion classification	Recognition of the Impulse of Love at First Sight Based on Electrocardiograph Signal	RF	Computational Intelligence and Neuroscience	2021
Emotion classification	Emotion Recognition from ECG Signals Using Wavelet Scattering and Machine Learning	SVM	MDPI ApplSci	2021
Emotion classification	Application of fractional Fourier transform in feature extraction from ELECTROCARDIOGRAM and GALVANIC SKIN RESPONSE for emotion recognition	SVM	BSPC	2021
Emotion classification	Deep ECGNet: An optimal deep learning framework for monitoring mental stress using ultra short-term ECG signals.	RNN+CNN	TELEMEDICINE e-HEALTH	2018
Signal quality classification	Classifying measured electrocardiogram signal quality using deep belief networks	RBM	IEEE I2MTC	2017
Sleep apnea detection	A dual-model deep learning method for sleep apnea detection based on representation learning and temporal dependence	RNN	Neurocomputing	2022
Sleep apnea detection	Contribution of Different Subbands of ECG in Sleep Apnea Detection Evaluated Using Filter Bank Decomposition and a Convolutional Neural Network	CNN	MDPI Sensors	2022
Sleep apnea detection	Deep Learning Forecasts the Occurrence of Sleep Apnea from Single-Lead ECG	RNN	Cardiovascular Engineering and Technology	2022
Sleep apnea detection	Capacitively-Coupled ECG and Respiration for Sleep–Wake Prediction and Risk Detection in Sleep Apnea Patients	CNN	MDPI Sensors	2021
Sleep apnea detection	Detection of sleep apnea using deep neural networks and single-lead ECG signals	CNN&LSTM	BSPC	2021
Sleep apnea detection	Obstructive sleep apnea detection using discrete wavelet transform-based statistical features	ML	Computers in Biology and Medicine	2021
Sleep apnea detection	Detection of sleep apnea syndrome by CNN based on ECG	CNN	Journal of Physics: Conference Series	2021
Sleep apnea detection	Diagnosis of Obstructive Sleep Apnea from ECG Signals Using Machine Learning and Deep Learning Classifiers	ML&DL	MDPI Applied science	2021
Sleep apnea detection	Detection of Sleep Apnea from Single-Lead ECG: Comparison of Deep Learning Algorithms	CNN&LSTM	IEEE MeMeA	2021
Sleep apnea detection	SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals	CNN	JMBE	2021
Sleep apnea detection	End-to-End Sleep Apnea Detection Using Single-Lead ECG Signal and 1-D Residual Neural Networks	CNN	Computers in Biology and Medicine	2021
Sleep apnea detection	Classification of Obstructive Sleep Apnoea from single-lead ECG signals using convolutional neural and Long Short Term Memory networks	CNN&LSTM	BSPC	2021
Sleep apnea detection	ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea	CNN	IEEE EMBC	2020
Sleep apnea detection	Automated sleep apnea detection from cardio-pulmonary signal using bivariate fast and adaptive EMD coupled with cross time–frequency analysis	ML	Computers in Biology and Medicine	2020
Sleep apnea detection	Identifying episodes of sleep apnea in ECG by machine learning methods	ML	IEEE ELNANO	2020
Sleep apnea detection	Detection of Abnormal Respiratory Events with Single Channel ECG and Hybrid Machine Learning Model in Patients with Obstructive Sleep Apnea	ML	IRBM	2020
Sleep apnea detection	Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis	SVM	Digital Signal Processing	2020
Sleep apnea detection	A Sleep Apnea Detection Method Based on Unsupervised Feature Learning and Single-Lead Electrocardiogram	HMM	IEEE TIM	2020
Sleep apnea detection	Classifier Precision Analysis for Sleep Apnea Detection Using ECG Signals	SVM&ANN	IEEE Access	2020
Sleep apnea detection	Analysis of Obstructive Sleep Apnea using ECG Signals	LSTM	IEEE ICBSII	2020
Sleep apnea detection	Sleep apnea detection from ECG using variational mode decomposition	VMD	Biomedical Physics & Engineering Express	2020
Sleep apnea detection	Efficient ANN Algorithms for Sleep Apnea Detection Using Transform Methods	ANN	AIS	2019
Sleep apnea detection	Obstructive sleep apnea detection using ECG-sensor with convolutional neural networks	CNN	Multimedia Tools and Applications	2018
Sleep apnea detection	Recurrent neural network based classification of ECG signal features for obstruction of sleep apnea detection	RNN	IEEE CSE and IEEE EUC	2017
Annotation or Localization	ECGAug: A novel method of generating augmented annotated electrocardiogram QRST complexes and rhythm strips	NN	IEEE Access	2021
Annotation or Localization	Impact of ECG dataset diversity on generalization of cnn model for detecting qrs complex	CNN	Computers in Biology and Medicine	2019
Annotation or Localization	An electrocardiogram delineator via deep segmentation network	CNN	IEEE EMBC	2019
Annotation or Localization	U-net architecture for the automatic detection and delineation of the electrocardiogram	CNN	CinC	2019
Annotation or Localization	QRS detection method based on fully convolutional networks for capacitive electrocardiogram	CNN	Expert Syst. Appl.	2019
Annotation or Localization	Automated and interpretable patient ECG profiles for disease detection, tracking, and discovery	CNN	Circ Cardiovasc Qual Outcomes	2019
Annotation or Localization	Sequential factorized autoencoder for localizing the origin of ventricular activation from 12-lead electrocardiograms	RNN	IEEE Trans. Biomed. Eng.	2019
Annotation or Localization	An ensemble of deep recurrent neural networks for p-wave detection in electrocardiogram	RNN	ICASSP	2019
Annotation or Localization	Inter-patient cnn-lstm for qrs complex detection in noisy ECG signals	CRNN	IEEE Access	2019
Annotation or Localization	Deep learning based qrs multilead delineator in electrocardiogram signals	CNN	CinC	2018
Annotation or Localization	Qrs detection and measurement method of ECG paper based on convolutional neural networks	CNN	IEEE EMBC	2018
Annotation or Localization	A deep learning approach for fetal qrs complex detection	RNN	Physiol. Meas.	2018
Annotation or Localization	Localization of origins of premature ventricular contraction by means of convolutional neural network from 12-lead ECG	CNN	IEEE Trans. Biomed. Eng.	2017
Annotation or Localization	Annotating ECG signals with deep neural networks	RNN	Circulation	2017
Annotation or Localization	Automatic coordinate prediction of the exit of ventricular tachycardia from 12-lead electrocardiogram	AE	CinC	2017
Denoising	ECG diagnostic support system (EDSS): A deep learning neural network based classification system for detecting ECG abnormal rhythms from a low-powered wearable biosensors	CNN	Philosophical SBSR	2021
Denoising	Robustness of convolutional neural networks to physiological electrocardiogram noise	CNN	Philosophical Transactions of the Royal Society A	2021
Denoising	A robust ECG denoising technique using variable frequency complex demodulation	VFCDM	CMPB	2020
Denoising	End-to-end trained cnn encoder-decoder network for fetal ECG signal denoising	CNN+BRNN	Physiological Measurement	2020
Denoising	Noise reduction in ECG signals using fully convolutional denoising autoencoders	CNN	IEEE Access	2019
Denoising	Deep convolutional encoder-decoder framework for fetal ECG signal denoising	CNN	CinC	2019
Denoising	Noise rejection for wearable ECGs using modified frequency slice wavelet transform and convolutional neural networks	CNN	IEEE Access	2019
Denoising	Adversarial de-noising of electrocardiogram	GAN	Neurocomputing	2019
Denoising	Elimination of power line interference from ECG signals using recurrent neural networks	RNN	IEEE EMBC	2017
Denoising	A stacked contractive denoising auto-encoder for ECG signal denoising	AE	Physiol. Meas.	2016
Others	Energy efficient ECG classification with spiking neural network	CNN&SNN	BSPC	2021
Others	Support Vector Machine based Stress Detection System to manage COVID-19 pandemic related stress from ECG signal	SVM	AJSE	2021
Others	Real-Time Stress Level Feedback from Raw Ecg Signals for Personalised, Context-Aware Applications Using Lightweight Convolutional Neural Network Architectures	CNN	MDPI Sensors	2021
Others	Deep learning via ECG and PPG signals for prediction of depth of anesthesia	CNN	BSPC	2021
Others	CSNet: A deep learning approach for ECG compressed sensing	CNN&LSTM	BSPC	2021
Others	Using Convolutional Neural Network and a Single Heartbeat for ECG Biometric Recognition	CNN	MDPI Entropy	2021
Others	Multi-label correlation guided feature fusion network for abnormal ECG diagnosis	CNN	knosys	2021
Others	A novel multi-lead ECG personal recognition based on signals functional and structural dependencies using time-frequency representation and evolutionary morphological CNN	CNN	BSPC	2021
Others	ProEGAN-MS: A Progressive Growing Generative Adversarial Networks for Electrocardiogram Generation	GAN	IEEE Acess	2021
Others	EDITH: ECG biometrics aided by Deep learning for reliable Individual auTHentication	CNN	IEEE TETCI	2021
Others	Symmetric Cryptography With a Chaotic Map and a Multilayer Machine Learning Network for Physiological Signal Infosecurity: Case Study in Electrocardiogram	ML	IEEE Acess	2021
Others	Detection and analysis: driver state with electrocardiogram (ECG)	KNN	Physical and Engineering Sciences in Medicine	2020
Others	DENS-ECG: A deep learning approach for ECG signal delineation	CNN&LSTM	ESWA	2020
Others	Generalization of convolutional neural networks for ECG classification using generative adversarial networks	CNN	IEEE Access	2020
Others	Precision medicine and artificial intelligence: a pilot study on deep learning for hypoglycemic events detection based on ECG	CRNN	Sci. Rep.	2020
Others	Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder	AE	arXiv	2020
Others	ECG generation with sequence generative adversarial nets optimized by policy gradient	GAN	IEEE Access	2020
Others	Electrocardiogram generation with a bidirectional lstm-cnn generative adversarial network	GAN	Sci. Rep.	2020
Others	A deep learning model to predict outcome after thoracoscopic surgery for atrial fibrillation using single beat electrocardiographic samples	CNN	Circulation	2019
Others	A comparison of patient history-and ekg-based cardiac risk scores	CNN	AMIA Summits Transl. Sci. Proc.	2019
Others	Biosignal generation and latent variable analysis with recurrent generative adversarial networks	RNN	IEEE Access	2019
Others	Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients	CRNN	PloS One	2019
Others	Automatic driver stress level classification using multimodal deep learning	CRNN	Expert Syst. Appl.	2019
Others	Synthesis of electrocardiogram v lead signals from limb lead measurement using r peak aligned generative adversarial network	GAN	IEEE J. Biomed. Health Inf.	2019
Others	Artificial intelligence algorithm for predicting mortality of patients with acute heart failure	FC & Others	PloS One	2019
Others	Using deep convolutional neural network for emotion detection on a physiological signals dataset (amigos)	CNN	IEEE Access	2018
Others	Deep learning for pulse detection in out-of-hospital cardiac arrest using the ECG	CRNN	CinC	2018
Others	Raim: recurrent attentive and intensive model of multimodal patient monitoring data	CRNN	KDD	2018
Others	Recognition of emotions using multimodal physiological signals and an ensemble deep learning model	AE	Comput. Methods Progr. Biomed.	2017
Others	ECG data compression using a neural network model based on multi-objective optimization	FC & Others	PloS One	2017
Others	Semi-supervised stacked label consistent autoencoder for reconstruction and analysis of biomedical signals	AE	IEEE Trans. Biomed. Eng.	2016

EMG

Task/Application	Title	Model	Publication	Year
Hand gesture classification	Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural Networks	ANN	MDPI Sensor	2022
Hand gesture classification	Hand gesture classification using time–frequency images and transfer learning based on CNN	CNN	BSPC	2022
Hand gesture classification	A New Deep Anomaly Detection-Based Method for User Authentication Using Multichannel Surface EMG Signals of Hand Gestures	CNN	IEEE TIM	2022
Hand gesture classification	Supervised Machine Learning based Fast Hand Gesture Recognition and Classification Using Electromyography (EMG) Signals	SVM	IEEE ICAEM	2021
Hand gesture classification	Finding Efficient Machine Learning Model for Hand Gesture Classification Using EMG Data	CNN&LSTM	IEEE ICEEICT	2021
Hand gesture classification	Hand gesture classification using a novel CNN-crow search algorithm	CNN	Complex & Intelligent Systems	2021
Hand gesture classification	EMG hand gesture classification using handcrafted and deep features	CNN	BSPC	2021
Hand gesture classification	Machine Learning Based Hand Gesture Recognition via EMG Data	ML	DCAIJ	2021
Hand gesture classification	Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach	FCM	IEEE TNSRE	2020
Hand gesture classification	Classification of electromyographic hand gesture signals using machine learning techniques	CNN	Neurocomputing	2020
Hand gesture classification	XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification	CNN	IEEE ICASSP	2020
Hand gesture classification	EMG based Hand Gesture Recognition using Deep Learning	CNN	IEEE TIPTEKNO	2020
Hand gesture classification	Deep Learning Based Surface EMG Hand Gesture Classification for Low-Cost Myoelectric Prosthetic Hand	CNN&LSTM	IEEE ICIEV	2020
Hand gesture classification	EMG-Based Hand Gesture Classification with Long Short-Term Memory Deep Recurrent Neural Networks	CNN	IEEE EMBC	2020
Hand gesture classification	Hand Gesture Recognition of Double-Channel EMG Signals Based on Sample Entropy and PSO-SVM	PSO-SVM	Journal of Physics: Conference Series	2020
Hand gesture classification	CNN-Based Detection and Classification of Grasps Relevant for Worker Support Scenarios Using sEMG Signals of Forearm Muscles	CNN	IEEE SMC	2019
Hand gesture classification	Deep Reinforcement Learning Apply in Electromyography Data Classification	CNN	IEEE CBS	2019
Hand gesture classification	A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface	CNN	Pattern Recogn. Lett.	2019
Hand gesture classification	Exploration of Chinese Sign Language Recognition Using Wearable Sensors Based on Deep Belief Net	DBN	IEEE J. Biomed. Health Inf.	2019
Hand gesture classification	Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning	CNN	IEEE Trans. Biomed. Eng.	2019
Hand gesture classification	Deep learning for electromyographic hand gesture signal classification using transfer learning	CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Hand gesture classification	EMG-Based Hand-Gesture Classification Using a Generative Flow Model	GFM	Sensors	2019
Hand gesture classification	Extraction of Multi-Labelled Movement Information from the Raw HD-sEMG Image with Time-Domain Depth	CNN	Sci. Rep.	2019
Hand gesture classification	Neural muscle activation detection: A deep learning approach using surface electromyography	RNN	J. Biomech.	2019
Hand gesture classification	Deep learning for musculoskeletal force prediction	CNN	Ann. Biomed. Eng.	2019
Hand gesture classification	Deep Learning Movement Intent Decoders Trained with Dataset Aggregation for Prosthetic Limb Control	CNN/LSTM	IEEE Trans. Biomed. Eng.	2019
Hand gesture classification	Deep learning for waveform identification of resting needle electromyography signals	CNN	Clin. Neurophysiol.	2019
Hand gesture classification	A novel approach for classification of hand movements using surface EMG signals	AE	IEEE ISSPIT	2018
Hand gesture classification	An adaptive convolutional neural network framework for multi-user myoelectric interfaces	CNN	IEEE ACPR	2018
Hand gesture classification	A Hybrid Cnn-SVM Classifier for Hand Gesture Recognition with Surface EMG Signals	CNN	IEEE ICMLC	2018
Hand gesture classification	Auto-encoder based deep learning for surface electromyography signal processing	AE	Adv. Sci., Technol. Eng. Syst.	2018
Hand gesture classification	Classification of multichannel surface-electromyography signals based on convolutional neural networks	CNN	J. Ind. Inform. Integration	2018
Hand gesture classification	Compact deep neural networks for computationally efficient gesture classification from electromyography signals	CNN	IEEE ROBIO	2018
Hand gesture classification	Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation	RNN	IEEE ICARCV	2018
Hand gesture classification	Deep learning in EMG-based gesture recognition	CNN	PhyCS	2018
Hand gesture classification	Estimating the Direction of Force Applied to the Grasped Object Using the Surface EMG	CNN	LNCS	2018
Hand gesture classification	Feasibility study of advanced neural networks applied to sEMG-based force estimation	CNN-RNN	Sensors (Switzerland)	2018
Hand gesture classification	Hand gesture recognition based on deep learning method	CNN	IEEE DSC	2018
Hand gesture classification	Hand gestures recognition using machine learning for control of multiple quadrotors	CNN	IEEE SAS	2018
Hand gesture classification	Movement and Gesture Recognition Using Deep Learning and Wearable-sensor Technology	CNN-RNN	ACM ICPS	2018
Hand gesture classification	Multiday emg-based classification of hand motions with deep learning techniques	CNN	Sensors	2018
Hand gesture classification	Pca and deep learning based myoelectric grasping control of a prosthetic hand	AE	Biomed. Eng. Online	2018
Hand gesture classification	Performance of Combined Surface and Intramuscular EMG for Classification of Hand Movements	AE	IEEE EMBS	2018
Hand gesture classification	Real-time, simultaneous myoelectric control using a convolutional neural network	CNN	PLoS ONE	2018
Hand gesture classification	Recurrent neural network models for myoelectricbased control of a prosthetic hand	RNN	IEEE ICSTCC	2018
Hand gesture classification	sEMG-based gesture recognition with convolution neural networks	CNN	Sustainability	2018
Hand gesture classification	Sensor Fusion for Myoelectric Control Based on Deep Learning With Recurrent Convolutional Neural Networks	CNN-RNN	Artif. Organs	2018
Hand gesture classification	Stacked sparse autoencoders for EMG-based classification of hand motions: A comparative multi day analyses between surface and intramuscular EMG	AE	Applied Sciences (Switzerland)	2018
Hand gesture classification	Surface EMG Pattern Recognition Using Long Short-Term Memory Combined with Multilayer Perceptron	RNN	IEEE EMBS	2018
Hand gesture classification	The deep neural network based classification of fingers pattern using electromyography	AE	IEEE IMCEC	2018
Hand gesture classification	Touchsense: Classifying and measuring the force of finger touches with an electromyography armband	CNN	ACM ICPS	2018
Hand gesture classification	Worker Activity Recognition in Smart Manufacturing Using IMU and sEMG Signals with Convolutional Neural Networks	CNN	Procedia Manufacturing	2018
Hand gesture classification	Personal authentication and hand motion recognition based on wrist EMG analysis by a convolutional neural network	CNN	IEEE IOTAIS	2018
Hand gesture classification	A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition	CNN+RNN	PLoS ONE	2018
Hand gesture classification	EMG-based estimation of limb movement using deep learning with recurrent convolutional neural networks	CNN+RNN	Artif. Organs	2018
Hand gesture classification	Finger motion estimation based on frequency conversion of EMG signals and image recognition using convolutional neural network	CNN	IEEE EMBC	2017
Hand gesture classification	Multimodal deep learning network based hand ADLs tasks classification for prosthetics control	CNN-AE	IEEE ICPIC	2017
Hand gesture classification	Self-recalibrating surface EMG pattern recognition for neuroprosthesis control based on convolutional neural network	CNN	Front. Neurosci.	2017
Hand gesture classification	Surface EMG-based inter-session gesture recognition enhanced by deep domain adaptation	CNN	Sensors (Switzerland)	2017
Muscle activity recognition	Transfer learning for sEMG hand gestures recognition using convolutional neural networks	CNN	IEEE ICSMC	2017
Muscle activity recognition	EMG pattern classification by split and merge deep belief network	DBN	Symmetry	2016
Muscle activity recognition	Movement intention decoding based on deep learning for multiuser myoelectric interfaces	CNN	IWW-BCI	2016
Muscle activity recognition	Deep learning with convolutional neural networks applied to electromyography data: a resource for the classification of movements for prosthetic hands	CNN	Front. Neurorobot.	2016
Muscle activity recognition	Multi-channel electromyography pattern classification using deep belief networks for enhanced user experience	DBN	J. Central South University	2015
Gesture recognition	Gesture recognition by instantaneous surface emg images	CNN	Sci. Rep.	2016
Robotic arm guidance	A convolutional neural network for robotic arm guidance using semg based frequency-features	CNN	IEEE IROS	2016
Speech and emotion classification	Emotion Classification and Recognition based on facial EMG	SVM	ICMIP	2022
Speech and emotion classification	Analysis of EMG Based Emotion Recognition for Multiple People and Emotions	SVM	IEEE ECBIOS	2021
Speech and emotion classification	A new approach for emotions recognition through EOG and EMG signals	ANN	Signal, Image and Video Processing	2021
Speech and emotion classification	Implementation of physiological signal based emotion recognition algorithm	SVM	IEEE ICDE	2020
Speech and emotion classification	Personal authentication by lips EMG using dry electrode and CNN	CNN	IEEE IOTAIS	2019
Speech and emotion classification	Human emotion recognition using deep belief network architecture	DBN	Inform. Fusion	2019
Speech and emotion classification	Deep belief network based affect recognition from physiological signals	DBN	UPCON	2018
Speech and emotion classification	Subvocal speech recognition via close-talk microphone and surface electromyogram using deep learning	CNN	FedCSIS	2017
Speech and emotion classification	Deep neural network frontend for continuous emg-based speech recognition	DNN	INTERSPEECH	2016
Speech and emotion classification	Direct conversion from facial myoelectric signals to speech using Deep Neural Networks	DNN	IEEE IJCNN	2015
Speech and emotion classification	Pattern learning with deep neural networks in emg-based speech recognition	DNN	IEEE EMBC	2014
Sleep stage classification	Deep learning method for sleep stage classification	CNN	ICONIP	2018
Sleep stage classification	A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series	CNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2018
Sleep stage classification	Multi-channel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks	CNN	IEEE EMBS	2018
Sleep stage classification	A compact deep learning network for temporal sleep stage classification	CNN-RNN	IEEE LSC	2018
Sleep stage classification	Visualising convolutional neural network decisions in automated sleep scoring	CNN	CEUR-WS	2018
Sleep stage classification	Combining deep belief networks and bidirectional long short-term memory: Case study: Sleep stage classification	DBN	EECSI	2017
Personal Recognition	A Study of Personal Recognition Method Based on EMG Signal	CNN	IEEE TBCAS	2021
Personal Recognition	Biometric Authentication based on EMG Signals of Speech	SVM/DT/KNN	IEEE ICECCE	2020
Personal Recognition	Single Channel Surface EMG Based Biometrics	RBF	Hidden Biometrics	2019
Amyotrophic Lateral Sclerosis detection	Deepemgnet: An application for efficient discrimination of ALS and normal EMG signals	CNN	Adv. Intell. Syst. Comput.	2018
EMG Signal Estimation from rat	Convolutional networks outperform linear decoders in predicting EMG from spinal cord signals	CNN	Front. Neurosci.	2018
EMG Signal classification	Transparent Electrophysiological Muscle Classification From EMG Signals Using Fuzzy-Based Multiple Instance Learning	MIL	IEEE TNSRE	2020
EMG Signal classification	Assessment of Pain using Optimized Feature Set from Corrugator EMG	SVM	IEEE ASPCON	2020
EMG Signal classification	Neuromorphic Implementation of a Recurrent Neural Network for EMG Classification	LSTM	IEEE AICAS	2020
EMG Signal Quality Rating	Development of a deep neural network for automated electromyographic pattern classification	CNN	J. Exp. Biol.	2019
EMG Signal Synthesis	Biosignals learning and synthesis using deep neural networks	RNN	BioMedical Eng. Online	2017
Lower-Limb Joint Angle Estimation	Surface EMG based continuous estimation of human lower limb joint angles by using deep belief networks	DBN	Biomed. Signal Process. Control	2018
Muscle Fatigue Detection	Measurement of upper limb muscle fatigue using deep belief networks	DBN	J. Mech. Med. Biol.	2016
Detection of Muscular Activity	Machine Learning for Detection of Muscular Activity from Surface EMG Signals	CNN	MDPI Sensors	2022
Spinal Cord Signals Amyotrophic Lateral Sclerosis detection	Deep neural network assisted diagnosis of time-frequency transformed electromyograms	DNN	Multimedia Tools Appl.	2018
Disease Detection	EMG Signal Classification for Detecting Neuromuscular Disorders	ANN	Journal of Physics: Conference Series	2021
Disease Detection	Neuromuscular disorders detection through time-frequency analysis and classification of multi-muscular EMG signals using Hilbert-Huang transform	ML	BSPC	2021
Other	Hammerstein–Wiener Multimodel Approach for Fast and Efficient Muscle Force Estimation from EMG Signals	ANN	MDPI biosensors	2022
Other	A hybrid approach to product prototype usability testing based on surface EMG images and convolutional neural network classification	CNN	CMPB	2022
Other	Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles Using Transition Network Approach	transition networks	IEEE TIM	2021
Other	Investigation of the effect of walking speed on leg muscle reaction by complexity-based analysis of electromyogram (EMG) signals	--	Fractals	2021
Other	Deep Learning for Robust Decomposition of High-Density Surface EMG Signals	LSTM	IEEE TBME	2020
Other	Classification of Motor Control Difficulty using EMG in Physical Human-Robot Interaction	SVM	IEEE SMC	2020
Other	FFBPNN-BASED HIGH DROWSINESS CLASSIFICATION USING EMG AND WPT	NN	Biomedical Engineering: Applications, Basis and Communications	2020
Other	Facial EMG Correlates of Subjective Hedonic Responses During Food Consumption	--	MDPI Nutrients	2020

EOG

Task/Application	Title	Model	Publication	Year
Sleep stage classification	Detecting slow eye movements with bimodal-LSTM for recognizing drivers’ sleep onset period	LSTM	BSPC	2022
Sleep stage classification	EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal	CNN&RNN	Front Neurosci.	2021
Sleep stage classification	Interactive sleep stage labelling tool for diagnosing sleep disorder using deep learning	RNN	IEEE EMBC	2018
Insomnia Detection	A Short-Time Insomnia Detection System Based on Sleep EOG With RCMSE Analysis	RCMSE	IEEE Access	2020
fatigue detection	A new method for muscular visual fatigue detection using electrooculogram	SVM	BSPC	2020
Disease Detection	Assessment of dyslexic children with EOG signals: Determining retrieving words/re-reading and skipping lines using convolutional neural networks	CNN	j.chaos	2021
Disease Detection	Diagnosis of attention-deficit hyperactivity disorder using EOG signals: a new approach	--	De Gruyter	2019
Detection of Reading Movement	Detection of Reading Movement from EOG Signals	RF	IEEE MeMEA	2020
EOG signal classification	EOG Signal Analysis Based on Multi-Label Classification by Neural Network Backpropagation	MLP	IEEE LA-CCI	2021
EOG signal classification	Electrooculography-based Eye Movement Classification using Deep Learning Models	CNN	IEEE IECBES	2020
Eye tracking	High Precision Eye Tracking Based on Electrooculography (EOG) Signal Using Artificial Neural Network (ANN) for Smart Technology Application	ANN	IEEE ICCIT	2021
Help paralyzed persons	Nine states HCI using electrooculogram and neural networks	NN	IJET	2017
Help paralyzed persons	EOG signal classification using neural network for human computer interaction	NN	IJCTA	2016
Help paralyzed persons	Classification of eye movements using electrooculography and neural networks	NN	IJHCI	2014
Help paralyzed persons	Idendifying eye movements using neural networks for human computer interaction	NN	IJCA	2014
Help paralyzed persons	A novel efficient human computer interface using an electrooculogram	SFCM	IJRET	2014
Help paralyzed persons	An EOG-based sleep monitoring system and its application on on-line sleep-stage sensitive light control	LDA	PhyCS	2014
Help paralyzed persons	Recognition of eye movementelectrooculogram signalsusing dynamic neuralnetworks	NN	KJCS	2013
Help paralyzed persons	Natural eye movement & its application for paralyzed patients	KNN	IJETT	2013
Help paralyzed persons	Development strategy of eye movement controlled rehabilitation aid using electrooculogram	NN	IJSER	2012
Help paralyzed persons	HMM based continuous EOG recognition for eye-input speech interface	HMM	ISCA	2012
Help paralyzed persons	Electro occulogram based interactive robotic arm interface for partially paralytic patients	MCDFA	IJITEE	2012
Help paralyzed persons	EOG-based visual navigation interface development	MCDFA	ESA	2012
Help paralyzed persons	Research on electrooculography classification based on multiple features	SVM	IJDCTA	2012
Help paralyzed persons	Online voluntary eye blink detection using electrooculogram	SVM	Int Symp Nonlinear Theor Appl	2012
Help paralyzed persons	A novel human-machine interface based on recognition of multi-chNNel facial bioelectric signals	SFCM	APESM	2011
Help paralyzed persons	Considerations on strategies to improve EOG signal analysis	LDA	ACM IJALR	2011
Help paralyzed persons	On the use of electrooculogram for efficient human computer interfaces	KNN	CIN	2010
Help paralyzed persons	Human electrooculography interface	KNN	Lisbon Technical University	2010
Help paralyzed persons	Eye movement analysis for activity recognition using electrooculographgy	SVM	IEEE TPAMI	2010
Help paralyzed persons	A feasibility study of an eye-writing system based on electro-oculography	SFCM	JMBE	2008
Help paralyzed persons	Electrooculogram classification of microcontroller based interface system	MCDFA	SIEDS	2007
Help paralyzed persons	Eye computer interface (ECI) and human machine interface applications to help handicapped persons	NN	TOJEEE	2006
Help paralyzed persons	Classification of electro-oculogram signals using artificial neural network	NN	ESA	2006
Help paralyzed persons	A biosignal-based human interface controlling a power-wheelchair for people with motor disabilities	HMM	ETRIJ	2006
Help paralyzed persons	System for assisted mobility using eye movements based on electrooculography	NN	IEEE Transact NSRE	2002
Help paralyzed persons	EOG guidance of a wheelchair using neural network	NN	ICPR	2000
Control robot	Human–Machine Interface: Multiclass Classification by Machine Learning on 1D EOG Signals for the Control of an Omnidirectional Robot	ML	MDPI Sensor	2021
Others	EOG biofeedback protocol based on selecting distinctive features to treat or reduce ADHD symptoms	Genetic algorithm	BSPC	2022
Others	Recurrence quantification analysis of electrooculography signal to a control question test: A new approach for the detection of deception	--	Biomedical Engineering	2020

Combination of signals

Task/Application	Title	Model	Publication	Year
Sleepiness Detection	Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks	GAN&LSTM	Neurocomputing	2020
Sleep stage classification	A hybrid deep learning scheme for multi-channel sleep stage classification	CNN	CMC	2022
Sleep stage classification	Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage Classification	GCN	IEEE TNSRE	2022
Sleep stage classification	Multimodal Multiclass Machine Learning Model for Automated Sleep Staging Based on Time Series Data	ML	SN COMPUT. SCI.	2022
Sleep stage classification	Sleep staging classification based on a new parallel fusion method of multiple sources signals	NN	Physiological Measurement	2022
Sleep stage classification	Automatic sleep stage classification based on two-channel EOG and one-channel EMG	RF	IPEM Physiological Measurement	2022
Sleep stage classification	Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network	CNN	IEEE IJCNN	2021
Sleep stage classification	SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging	CNN	IJCAI	2021
Sleep stage classification	SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging	NN	IEEE TAI	2021
Sleep stage classification	Two-Stream Squeeze-and-Excitation Network for Multi-modal Sleep Staging	NN	IEEE BIBM	2021
Sleep stage classification	Multi-Modal Physiological Signals Based Squeeze-and-Excitation Network With Domain Adversarial Learning for Sleep Staging	CNN	IEEE JSEN	2020
Sleep stage classification	Transfer Learning Convolutional Neural Network for Sleep Stage Classification Using Two-Stage Data Fusion Framework	NN	IEEE Acess	2020
Sleep stage classification	An Ensemble Deep Learning Approach for Sleep Stage Classification via Single-channel EEG and EOG	Ensemble DL	IEEE ICTC	2020
Sleep stage classification	Binary State Prediction of Sleep or Wakefulness Using EEG and EOG Features	SVM	IEEE INDICON	2020
Sleep stage classification	An Automatic Sleep Staging Model Combining Feature Learning and Sequence Learning	CNN,LSTM	ICACI	2020
Sleep stage classification	An Automatic Sleep Staging Method Using a Multi-head and Sequence Network	CNN,LSTM	ICBIBE	2020
Sleep stage classification	GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification	ST-GCN	IJCAI	2020
Sleep stage classification	SeqSleepNet: end-to-end hierarchical recurrent neural network for sequence-to-sequence automatic sleep staging	RNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2019
Sleep stage classification	A deep learning model for automated sleep stages classification using PSG signals	CNN	Int. J. Environ. Res. Public Health	2019
Sleep stage classification	An ultra-low-power dual-mode automatic sleep staging processor using neural-network-based decision tree	WPD,DT	IEEE Trans. Circuits Syst. I, Reg. Papers	2019
Sleep stage classification	Deep learning for automated feature discovery and classification of sleep stages	CNN	IEEE/ACM Trans. Comput. Biol. Bioinf.	2019
Sleep stage classification	Multivariate sleep stage classification using hybrid self-attentive deep learning networks	Self-attention	BIBM	2018
Sleep stage classification	Expert-level sleep scoring with deep neural networks	CNN,LSTM	J Am Med Inform Assn	2018
Sleep stage classification	Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device	BiLSTM	Comput. Biol. Med.	2018
Sleep stage classification	Joint classification and prediction CNN framework for automatic sleep stage classification	CNN	IEEE Trans. Biomed. Eng.	2018
Sleep stage classification	Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms	CNN	IEEE EMBC	2018
Sleep stage classification	Multichannel sleep stage classification and transfer learning using convolutional neural networks	CNN	IEEE EMBC	2018
Sleep stage classification	An end-to-end framework for real-time automatic sleep stage classification	CNN	Sleep	2018
Sleep stage classification	A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series	CNN,LSTM	IEEE Trans. Neural Syst. Rehabil. Eng.	2018
Sleep stage classification	Personalizing deep learning models for automatic sleep staging	CNN	arXiv	2018
Sleep stage classification	Visualising convolutional neural network decisions in automatic sleep scoring	CNN	CEUR Workshop Proceedings	2018
Sleep stage classification	Deep Convolutional Neural Networks for feature-less automatic classification of Independent Components in multi-channel electrophysiological brain recordings	CNN	IEEE Trans. Biomed. Eng.	2018
Sleep stage classification	Mixed neural network approach for temporal sleep stage classification	MLP,RNN	IEEE Trans. Neural Syst. Rehabil. Eng.	2017
Sleep stage classification	Electrooculogram based sleep stage classification using deep belief network	DBN	IJCNN	2015
Sleep stage classification	Sleep stage classification using unsupervised feature learning	DBN	Adv. Artif. Neural Syst.	2012
Sleep stage classification	Investigation of an automatic sleep stage classification by means of multiscorer hypnogram	LDS	Methods Inf Med	2010
Sleep stage classification	Classification of human sleep stages based on EEG processing using hidden Markov models	HMM	Biomed. Eng.	2007
Disease Detection	Diagnosing Parkinson’s Disease Using Multimodal Physiological Signals	ML	CCIS	2021
Disease Detection	Information fusion and multi-classifier system for miner fatigue recognition in plateau environments based on electrocardiography and electromyography signals	ML	CMPB	2021
Disease Detection	A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals	ML	MDPI Applied Sciences	2020
Disease Detection	Stress detection using ECG and EMG signals: A comprehensive study	ML	CMPB	2020
Disease Detection	Simultaneous human health monitoring and time-frequency sparse representation using EEG and ECG signals	CNN	IEEE Access	2019
Speech and emotion classification	Emotion Analysis Using Audio/Video, EMG and EEG: A Dataset and Comparison Study	DBN	IEEE WACV	2018
Fatigue detection	A Novel Fatigue Driving State Recognition and Warning Method Based on EEG and EOG Signals	FSVM	Journal of Healthcare Engineering	2021
Fatigue detection	Driver fatigue state detection based on EEG and EOG feature fusion and deep learning	SEEDVIG	ISPECE	2021
Fatigue detection	EEG and Forehead EOG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks	Sparse-DBN&SVM	IEEE HPCC	2021
Fatigue detection	Detecting driving fatigue with multimodal deep learning	AE	IEEE/EMBS NER	2017
Momentary mental workload classification	Pattern recognition of momentary mental workload based on multi-channel electrophysiological data and ensemble convolutional neural networks	CNN	Front. Neurosci.	2017
Multimodal Data Compression	Multimodal deep learning approach for Joint EEG-EMG Data compression and classification	AE	IEEE WCNC	2017
Drowsiness detection	Eog-based drowsiness detection using convolutional neural networks	CNN	IJCNN	2014
Emotion classification	Emotion classification on eye-tracking and electroencephalograph fused signals employing deep gradient neural networks	NN	Applied Soft Computing	2021
Emotion classification	Combination of EOG and EEG for emotion recognition over different window sizes	--	IEEE ICHMS	2021
Emotion classification	Multimodal Physiological Signal Emotion Recognition Based on Convolutional Recurrent Neural Network	CNN	IOP Conference Series: Materials Science and Engineering	2020
Emotion classification	Emotion recognition using multimodal residual LSTM network	LSTM	ACM ICM	2019
Emotion classification	Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing	CNN, LSTM	IEEE Trans. Affective Comput.	2019
Emotion classification	EmotionMeter: A Multimodal Framework for Recognizing Human Emotions	RBM	IEEE transactions on cybernetics	2018
Emotion classification	Using deep convolutional neural network for emotion detection on a physiological signals dataset (AMIGOS)	CNN	IEEE Access	2018
Emotion classification	Deep belief network based affect recognition from physiological signals	DBN	UPCON	2017
Emotion classification	EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes	SLFN	IEEE Trans. Cogn. Devel. Syst.	2017
Sleep apnea detection	A model for obstructive sleep apnea detection using a multi-layer feed-forward neural network based on electrocardiogram, pulse oxygen saturation, and body mass index	SVM	Sleep and Breathing	2021
Foot movements classification	Fusion of EEG and EMG signals for classification of unilateral foot movements	--	BSPC	2020
Other	Driver vigilance detection for high-speed rail using fusion of multiple physiological signals and deep learning	RNN	Applied Soft Computing	2022
Other	Emotion driven mood enhancing multimedia recommendation system using physiological signal	KNN	IOP Conference Series	2021
Other	A Reinforcement Learning Assisted Eye-Driven Computer Game Employing a Decision Tree-Based Approach and CNN Classification	CNN	IEEE Access	2021
Other	Selecting Feature Sets and Comparing Classification Methods for Cognitive State Estimation	SVM	IEEE BIBE	2020

Acknowledgement

Yuanlai He, Yingbin Zhang，Xiyang Cai, and Ziyu Jia collaborated to organize and summarize the above papers.

More paper lists

• Sleep Stages Classification Papers
• Motor Imagery Papers
• Emotion Recognition Papers