i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

ECG classification programs based on ML/DL methods

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

Systole: A python package for cardiac signal synchrony and analysis

Python3 library to format physiological files in BIDS. At the moment, it supports Acqknowledge and Labchart. BrainHack participants, check the issues with the BrainHack labels!

A Python package for physyological's signals processing

Bounded Kalman filter method for motion-robust, non-contact heart rate estimation

MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement (ACM CHIL-2021)

Package for imputing the arterial blood pressure (ABP) waveform from non-invasive physiological waveforms (PPG & ECG) using a deep neural network

Former toolbox for physiological peak detection analyses. Deprecated in favour of prep4phys

Supplementary codes for the K-EmoCon dataset

Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-based LSTM network

[Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS

PyTEAP: A Python implementation of Toolbox for Emotion Analysis using Physiological signals (TEAP).

A toolbox and collection of scripts to prepare physiology data for fMRI denoise

[CHIL 2024] Interpretation of Intracardiac Electrograms Through Textual Representations

Repo for PPG Quality Index algorithm

python toolbox to analyse physiological signals : respiration and ECG

A simulator of the 2-element respiratory mechanics model

A research project which uses GNN to analyze physiological signals.