A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

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

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

An R package for processing and plotting of electroencephalography (EEG) data

No description provided.

Analyze and manipulate EEG data using PyEEGLab.

This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.

The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)

Codebase for "Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"

Machine learning for Anonymous detection of an alcoholic by EEG signals

EEG Features to be extract from raw data.

Supporting code for the GX Dataset

A package for manipulating EEG data in R.

A MATLAB application to automatize analysis of EEG data

Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin

This curated list highlights the latest breakthroughs in EEG and AI integration, providing a user-friendly guide for researchers, students, and hobbyists to explore advancements and applications in this exciting field.

Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.

Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.

Android app for EEG data visualization and recording with the Traumschreiber BLE device

Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks

🎧 Muse - The brain sensing headband plus attention level

Function to calculate consistency of phase at a given frequency across measurements

NeuroSky MindWave & MindWave Mobile EEG Headset library for Windows 10 Universal applications

These C/C++ source files consist of 150 classes, 300,000 lines of code, excluding a Qt-based user interface. Its functionality includes: GLM-statistics, hierarchical clustering, (non)-linear optimization, L1 and L2 norm minimization, Hungarian algorithm, EEG/MEG forward and inverse modelling, Boundary Element Method, spatio/temporal covariance modelling, image fusion, triangular meshes, KD-trees, topological error correction, marching cubes & spherical triangulations, sparse matrices and matrix operations, spherical harmonics, wavelets, spectra and spectrograms, Fast Fourier transform (FFTWest), data import for many different EEG/MEG data formats, data import for many image data formats.

BandRatios project repository: Electrophysiological Frequency Band Ratio Measures Conflate Periodic and Aperiodic Neural Activity.

A Python package for seamless communication with Neurosky MindWave Mobile 2 headset.

In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person