motor-imagery-classification
There are 6 repositories under motor-imagery-classification topic.
SuperBruceJia / EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Language:Python 977EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
Language:Python 210guangyizhangbci / EEG_Riemannian
IEEE Transactions on Emerging Topics in Computational Intelligence
Language:Python 63edw4rdyao / 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).
Language:Jupyter Notebook 61High-East / BCI-ToolBox
Deep Learning pipeline for motor-imagery classification.
Language:Python 59- Language:Jupyter Notebook 43
arkanivasarkar / EEG-Data-Augmentation-using-Variational-Autoencoder
Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
Language:Jupyter Notebook 38comojin1994 / m-shallowconvnet
Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals
Language:Python 32lokhande-vishnu / IITK_Motor_EEG
Motor Imagery EEG signal Classification on DWT
Language:MATLAB 24Towards Domain Free Transformer for Generalized EEG Pre-training
Language:Python 23reshalfahsi / eeg-motor-imagery-classification
EEG Motor Imagery Classification Using CNN, Transformer, and MLP
Language:Jupyter Notebook 23mauricio-ms / motor-imagery
Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem
Language:Jupyter Notebook 21Ahmed-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.
Language:Python 16faheemersh / Senior_Design_Dry_EEG_BCI
Senior Design Project at UH
Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.
Language:Python 12This code is for classifying spectrogram images of Motor Movement/Imagery tasks using a Convolutional Neural Network (CNN) and Generative Adversarial Network (GAN) for data augmentation..
Language:Python 10James-Mc1ntyre / DeepLearningProject
Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals
Language:Jupyter Notebook 9vinayakr99 / Muse-MotorImageryClassification
Record EEG data from a Muse 2 headband using the MInd Monitor app and python osc module. Build and train a CNN model in Keras framework to classify Left-Right Motor Imagery. Make real-time predictions using the trained model.
Language:Jupyter Notebook 9A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization through Proximity-to-Boundary Scoring
Language:Python 8mikaelhaji / MotorImagery
Motor Imagery System Using a Low-Cost EEG Brain Computer Interface.
Language:Jupyter Notebook 8sajjadkarimi91 / motor-imagery-BCI
A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO
Language:MATLAB 7bustios / 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.
Language:Python 6phanquanghung / eeg-classification-api
EEG Classification API using Flask
Language:Python 6Tanuj2552 / Motor-Imagery-Classification-of-Brain-EEG-Signal
This project aim is to classify the motor imagery signals extracted from the brain using an Electro Encephalogram
Language:Jupyter Notebook 4This Python script creates, trains, and tests a Convolutional Neural Network (CNN) for image classification using various libraries like Numpy, Tensorflow, OpenCV, Keras, etc. The input images are spectrum images that are loaded from a specified folder path and pre-processed by resizing and normalizing.
Language:Python 3anjaliagarwal8 / ECoG_MotorImagery-NMA
ECoG Motor Imagery Classification and Analysis. (Neuromatch Academy Project)
Language:Jupyter Notebook 3nabilalibou / EEG_kaggle_sandbox
Exploring Brain Signal Processing Pipelines for Kaggle Challenges
Language:Python 2Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training
Language:Python 2cserajdeep / OMP-EEG
Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal
Language:MATLAB 1HarlockOfficial / MsThesisProject
University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery
Language:Python 1Project for XAI606(Korea University)
Language:Python 1Kiarashmo / Stroke-Patient-Motor-Imagery-Classification-System-by-Utilizing-Transfer-Learning
Leveraging Transfer Learning to Improve Stroke Patient Motor-Imagery Classification.
Language:Jupyter Notebook 1Motor Imagery in VR-BCI
Language:Jupyter Notebook 1rishannp / Motor-Imagery---Graph-Attention-Network
This is works in attempt to develop novel, state-of-the-art models for decoding EEG MI data from patient datasets. Specifically using GAT, highlighting their potential advantages.
Language:Python 1Peich-Liu / Motor_Imagery_Signal_Anaylze
The topic is "Using Different algorithm to classify the motor imagery EEG signal"
Language:Python 0Motor Imagery model for Technology Workshop class
Language:Python
