102 Open source projects that are alternatives of or similar to BioAmp-v1.5

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

Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

This is the project page for the iOS app ECG Recorder for Polar H10 heart rate sensor.

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time

This plugin creates datas for your game activities and shows many statistics.

ESP-WROOM-32 breakout board to connect it to a Waveshare E-Ink display

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.

Open Source EIT system using Keithley 6221 current source and EEG systems

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

A package for manipulating EEG data in R.

EEG Reader is an Android mobile application, which reads EEG signal from NeuroSky mobile device connected to smartphone via Bluetooth.

A device to control AXIOM cameras.

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Web Bluetooth client for the Ganglion brain-computer interface by OpenBCI

Q,R,S, detection from ECG

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

NEURAL: a neonatal EEG feature set in Matlab

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

A list of openly available datasets in (mostly human) electrophysiology.

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

Python + EEG/MEG = PyEEG

A convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.

No description or website provided.

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

iMX RT 1020 CPU module

Export Qucs RF schematics to KiCad layouts & OpenEMS scripts

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

PyTorch implementation of TSception

SigViewer is a viewing application for biosignals.

A lightweight I/O utility for the BrainVision data format, written in Python.

Some Malduino ducky scripts

OBSOLETE. Replaced by https://github.com/Protocentral/protocentral-healthypi-v3

Deep learning based ECG classification

Visual EEG readings from the Muse EEG Headset

Simulation and optimization of neural circuits for MEG/EEG source estimates

Mother of All BCI Benchmarks

AntroPy: entropy and complexity of (EEG) time-series in Python

CS198-96: Intro to Neurotechnology @ UC Berkeley

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

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

Open-Source board for converting RaspberryPI to Brain-computer interface

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

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.

Parameterizing neural power spectra into periodic & aperiodic components.

A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.

A terminal app written in Node.js to monitor brain signals in real-time

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

With the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.

MATLAB / Octave tools for BIDS datasets

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".