motor-imagery

SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow

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

Altaheri/EEG-ATCNet

Attention temporal convolutional network for EEG-based motor imagery classification

zhangks98/eeg-adapt

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

drwuHUST/TLBCI

Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."

edw4rdyao/eeg_mi_dl

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

chamwen/MEKT

Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)

zabir-nabil/eeg-rsenet

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

High-East/Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classification

Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper

IoBT-VISTEC/Decoding-EEG-during-AO-MI-ME

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

orvindemsy/BCICIV2a-FBCSP

Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python

chaklam-silpasuwanchai/Python-for-EEG

A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.

ABaldrati/AugmentBrain

In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.

chaklam-silpasuwanchai/EEG-Real-Time-Applications

EEG BCI Real-Time Applications: Contains real-time demonstrations of BCI applications

mauricio-ms/motor-imagery

Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem

Pooria90/EEG-Motor-Imagery-Analysis

The codes that I implemented during my B.Sc. project.

comojin1994/DFformer

Towards Domain Free Transformer for Generalized EEG Pre-training

martinwimpff/channel-attention

Baizhige/EEGResearchHub

A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.

Ahmed-Habashy/Dataset-BCI-competition-iv-2b

This is a python code for extracting EEG signals from dataset 2b from competition iv, then it converts the data to spectrogram images to classify them using a CNN classifier.

mauricio-ms/motor-imagery-deep-learning

Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.

RezaSaadatyar/SSVEP-based-EEG-signal-processing

This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.

tomazas/itc2017

Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"

gzoumpourlis/Ensemble-MI

PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"

anthonyesp/channel_selection

Some studies regarding the selection of optimal channels in a BCI based on motor imagery

eneriz-daniel/MIBCI-QCNNs

This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.

James-Mc1ntyre/DeepLearningProject

Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals

JohnBoxAnn/TSGL-EEGNet

catalinamagalvan/PySimMIBCI

Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models

martinwimpff/eeg-otta

mikaelhaji/MotorImagery

Motor Imagery System Using a Low-Cost EEG Brain Computer Interface.

bustios/res

This repository contains all the code used in the experiments of the paper Restricted Exhaustive Search for Frequency Band Selection in Motor Imagery Classification as well as additional information of the experiments and results, and how to reproduce them.

caee/MIDroneControl

OpenViBE BCI paradigm for controlling a drone

okbalefthanded/aawedha

Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking

BanaanKiamanesh/Ultimate-BCI-Design

Research on Brain Computer Interfaces.

HarlockOfficial/MsThesisProject

University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery