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

The programming interface for your body and mind

EntroPy: complexity of time-series in Python (DEPRECATED)

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

Systole: A python package for cardiac signal synchrony and analysis

Biosignal Processing in Python

Are you ready to FLIRT with your wearable data?

A graphical user interface for feature extraction from heart- and breathing biosignals.

Python API for Mentalab biosignal aquisition devices

Get stress measurement results in your IOS app using Welltory heart rate variability algorithms

A Python package for the analysis of biopsychological data.

Documentation for Reproducing & Using the OpenBCI cEEGrid Adapter

Making OpenBCI for Node Reactive