NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Biosignal Processing in Python
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
CS198-96: Intro to Neurotechnology @ UC Berkeley
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
[NeurIPS 2025] PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
The programming interface for your body and mind
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
Corpus of resources for multimodal machine learning with physiological signals (mmps).
EntroPy: complexity of time-series in Python (DEPRECATED)
A curated list of foundation models, datasets, and tools for biosignals
Biosignal Processing in Python
Systole: A python package for cardiac signal synchrony and analysis
Elata SDK is the cross-platform biosignal toolkit for building neurotechnology and remote biosensing apps on web and native.
Are you ready to FLIRT with your wearable data?
A graphical user interface for feature extraction from heart- and breathing biosignals.
Documentation for Reproducing & Using the OpenBCI cEEGrid Adapter
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