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augmentbrain

In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.

bendr

braindecode

Deep learning software to decode EEG, ECG or MEG signals

brainpad

Classification of EEG signals from the brain through OpenBCI hardware and Tensorflow-Keras API

cardiogram

This is a library of tools for processing ElectroCardioGram

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

eeg-gcnn

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

ncl

Code of the paper "Neighborhood Contrastive Learning Applied to Online Patient Monitoring"

scikit-physio

Scikit like API for physiological signal processing

subject-invariant-ssvep-gan

Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.

sythentic-brain

Synthetic