ECG classification programs based on ML/DL methods

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.

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

[ICLR 2023, Oral] SimPer: Simple Self-Supervised Learning of Periodic Targets

Systole: A python package for cardiac signal synchrony and analysis

A Python package for physyological's signals processing

Toolbox for Emotion Analysis using Physiological signals

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!

Yet another implementation of remote photoplethysmography (rPPG) in Python

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

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

🩺 This project aims to detect stress state based on Electrocardiogram ♥️ signals (WESAD Dataset) analysis with a deep learning model.

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

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).

Supporting code for the GX Dataset

Annotate signal, timeseries, waveforms...

Corpus of resources for multimodal machine learning with physiological signals