Maxim Entropy based Common Spatial Pattern
-
Updated
Aug 21, 2017 - MATLAB
Maxim Entropy based Common Spatial Pattern
Motor Imagery EEG signal Classification on DWT
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.
Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem
Senior Design Project at UH
Motor Imagery model for Technology Workshop class
Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal
Fuzzy Discernibility Matrix-based a novel feature selection technique
This project aim is to classify the motor imagery signals extracted from the brain using an Electro Encephalogram
ECoG Motor Imagery Classification and Analysis. (Neuromatch Academy Project)
Motor Imagery System Using a Low-Cost EEG Brain Computer Interface.
Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals
Project for XAI606(Korea University)
Deep Learning pipeline for motor-imagery classification.
Motor Imagery in VR-BCI
A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO
Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals
Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Add a description, image, and links to the motor-imagery-classification topic page so that developers can more easily learn about it.
To associate your repository with the motor-imagery-classification topic, visit your repo's landing page and select "manage topics."