There are 3 repositories under eeg-data topic.
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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
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)
Machine learning for Anonymous detection of an alcoholic by EEG signals
Codebase for "Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"
A package for manipulating EEG data in R.
Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.
Android app for EEG data visualization and recording with the Traumschreiber BLE device
Function to calculate consistency of phase at a given frequency across measurements
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
NeuroSky MindWave & MindWave Mobile EEG Headset library for Windows 10 Universal applications
Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin
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.
Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
Supporting code for the GX Dataset
BandRatios project repository: Electrophysiological Frequency Band Ratio Measures Conflate Periodic and Aperiodic Neural Activity.
Function to calculate consistency of phase at a given frequency across measurements
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
BV2BIDS is a command line tool that creates the EEG-BIDS folder hierarchy from BVCD files.
🧠 Study about electrical activity of the brain retrieved from an EEG headset (repo in french).
An android app that displays EEG readings from a NeuroSky Mindwave headset.
This project is an RC Car that can be controlled through facial movements picked up by an OpenBCI EEG device.
A plug-in for the EEG lab toolbox to implement Artifact Subspace Reconstruction cleaning with whole-night sleep EEG
Source localization and connectivity analysis of high-density EEG data