NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Converting real-time EEG into sounds, music and visual effects

The programming interface for your body and mind

PyoMyo - Python Opensource Myo armband library

Biosignal Processing in Python

A Python package for physyological's signals processing

Improved sEMG-based gesture recognition

Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG

Multimodal Dataset of Freezing of Gait in Parkinson's Disease

Domain Adaption for sEMG-based Gesture Recognition with Recurrent Neural Networks

MyoConnect alternative for the Myo Armband with OSC protocol

DIY Myo Gesture Control Arduino-based Controller. Muscle data (EMG, muscle electrodes) are read and processed by simple machine learning algorithm to generate control commands

Source code for multiple parameter modelling of synthetic electromyography data.

EEG Acquisition board software, PCB design files and documentation.

The neuromuscular model notebook is an interactive tool for studying the underlying mechanisms of electromyogram (EMG) and force generation. The model, which was based on previous studies (see references below), can be used for research purposes as well as a teaching platform.

Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network

An EMG-based gesture recognition

Neural architecture search framework based on reinforcement learning:"A Novel Approach to Detecting Muscle Fatigue Based on sEMG by Using Neural Architecture Search Framework"

Dump raw sensor data as CSV for training gesture detection models.