Annotation of ECG signals using deep learning, tensorflow’ Keras
An abductive framework for the interpretation of time series, with special application to ECG data.
ECG signal classification using Machine Learning
ECG_PLATFORM is a complete framework designed for testing QRS detectors on publicly available datasets.
Final Project developed for Human Data Analytics (HDA) course during MSc in Data Science at University of Padova (UNIPD)
Python GUI Application, visualizes signals across multiple channels and analyzes their frequency spectrum
EDA of Physionet Data set regarding "A Large Scale 12 Lead Electrocardiogram Database for Arrhythmia Study 1.0.0". This project focuses on the preprocessing of electrocardiogram (ECG) signals and utilizes Principal Component Analysis (PCA) for dimensionality reduction
.hea/.dat ECG-files processing and converting tool (CLI & module) for deeper integration in the datascience ecosystem
The program is used to compare annotation files obtained as a result of processing a set of ECG records
The program is used to compare annotation files obtained as a result of processing a set of ECG records
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