Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

BIOT - A framework for pretraining biosignals at scale. Large EEG pre-trained models.

BioSignal Analysis Kit

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

This repository is a new wearable biosensors package for ROS2-Foxy. The ultimate goal of this repo is to expand the biosensors ecosystem in the Human-Robot Interaction (HRI) field. The package currently supports six wearable biosensors that can be used in HRI researches without behavioral constraints caused by limited hardware specifications (e.…

Source code for multiple parameter modelling of synthetic electromyography data.

A python command line tool to read an SCP-ECG file and print structure information

In this project, we will perform 12-lead ECG Multi-label Classification. Specifically, we will design a multi-model utilizing the characteristics of diagnoses from the Shaoxing and Ningbo databases.

Modular PySide6 GUI for acquiring and visualizing bio-signals from different sources

This repository contains the code to replicate the End-to-End Deep Sequence Modelling baseline for the Breathing Challenge of the Interspeech 2020 Computational Paralinguistics Challenge (ComParE).

ppg preprocessing (e.g., ppg> spectrogram, bandpass, moving average)

A Python Library for Calculating Seizure Quality Indices in Electroconvulsive Therapy

Lab Streaming Layer (LSL) plugin for Apache Cordova. Stream physiological biosignal data from mobile devices to LabRecorder and other LSL consumers. First Cordova plugin for LSL.

Capacitor 7 plugin for Lab Streaming Layer (LSL) — Stream biosignal data from mobile devices to LabRecorder. World's first Capacitor LSL plugin.

Clone-and-build starter for GLE health apps — PWA template with mic capture, BAGLE API encoding, and offline support

?? EMG-controlled car using muscle electrical signals - real-time electromyography signal acquisition, RMS processing, and muscle-computer interface for bio-inspired control!

MCP server that tunes human-AI interaction rhythm based on working modes. Humans are variable and models are adjustable.

A DIY single-channel biopotential recorder for ECG/EMG/EEG, built with discrete components.

CRAN Task View: Processing and Analysis of Biosignal Data