There are 6 repositories under electroencephalography topic.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Deep learning software to decode EEG, ECG or MEG signals
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.
Automated rejection and repair of bad trials/sensors in M/EEG
Low Cost Electroencephalogram Based Brain-Computer-Interface
3D Visualization of Brain MRI
An implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch for EEG-based image reconstruction.
Eye movement and blink-related EEG and MEG artifact correction algorithms
This repository provides analysis code to analyze intracranial electrophysiological data with data-driven spatial filters.
All-resolutions Inference for M/EEG in Python
Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
Assorted machine learning implementations for medical data.
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
Visualisation & processing of MEG data and networks on meshes. A bunch of functions, examples and a gui.
Developed an Electroencephalography(EEG) based Brain Computer Interface to play Pong with brain activity
Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals
group sequential tests for neuroimaging
This repository provides analysis code to analyze longitudinal changes in aperiodic activity in infant EEG data.
LIMO MEEG landing page and meta documents
The code in this repository allows the visualization of brainwaves detected using TGAM brainwave sensor module. It uses python, d3.js and Bootstrap. A detailed description of the code can be found in this article - https://medium.com/@mohitjain72/detection-and-visualization-of-brainwaves-using-python-d3-and-bootstrap-742129f9ed97
This repository provides analysis code to analyze spatial mixing in electrophysiological data through lead field and spatial pattern coefficients.
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring
TRAP MUSIC algorithm for MEG/EEG multi-source localization
TRAP MUSIC algorithm for MEG/EEG multi-source localization
Electroencephalography signals analysis. Detection of spikes, with threshold method and their isolation with windowing. Temporal and spectral feature extraction. Classification in three neurons.
GNU Octave/MATLAB code supplementing the journal article "Permutation Entropy: Too Complex a Measure for EEG Time Series?" (Entropy 2017, 19, 692)
This repository provides analysis code to visualize beta-activity of genuine and harmonic nature in a large open EEG dataset.
Dimensionality reduction for electroencephalography data to train deep learning models for motor imagery classification.