MoutzW

pybrain_mne

Material for Pybrain 2020 MNE-Python workshop

EEG-classification

paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”

MLOM_EEGproject

EEG motor imagery classification project using tensorflow to be deployed onto STM32

BCI-ML

EEG-based Motor imagery BCI and experiments on 4-class Motor Imagery dataset using various ML and signal processing algorithms

Brain-Computer-Interface-Offline-Decoding

This project was aimed at classifying motor imagery from EEG data~

BCI-Classification

Implementing SVM, KNN and LSTM for motor-imagery classification of a 3 channel EEG signal.

BCI_FYP

All files for my final year project, looking at classification of left and right hand motor imagery EEG signals

MB3DCNN

Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by Xinqiao Zhao , Hongmiao Zhang , Member, IEEE, Guilin Zhu, Fengxiang You, Shaolong Kuang, Member, IEEE, and Lining Sun

Graduation-thesis-eeg-motor-imagery-classification

MI_CNN

Decoding Motor Imagery EEG signals with CNN

CS-337-EEG-classification

EEG signal: motor imagery; mental health classification

EEG-classification-of-BCI-competition-

EEG classification of BCI competition using LSTM,GRU and Biderectional LSTM

MotorImagery

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

eeg-motor-imagery

Analysis and classifications scripts from BCI_101 | Day 3, Week 2 - 'Decoding brain activity from raw EEG signals' with David Haslacher

Computational-Models-of-Motor-Imagery

Computational modelling of motor imagery with the help of EEG data

motor-imagery-deep-learning

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

EEGclassification

Binary classification of EEG motor imagery data using deep learning

EEG-motor-imagery

ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification and Demystification

EEG_BCI

CNN and RNN based architectures for Motor Imagery Classification

Brain-Computer-Interface-EEG-Motor-Imagery

EEG-signal-classification

Classification of EEG samples into motor imagery classes to be used for a simple Brain-Computer Interface.

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)

LDA-on-EEG-Motor-Movement-Imagery-Dataset

Linear discriminant analysis on EEG Motor Movement/Imagery Dataset: https://www.physionet.org/pn4/eegmmidb/

Brain-computer-interface-BCI-

Motor imagery movements decoding from EEG signals

EEGMotorImagery

EEG motor imagery classification using convolutional neural networks

BCI_MI_Wavelet_CNN

Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network

ECE-C247-EEG-GAN

GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

EEG-ANALYSIS-FOR-MOTOR-IMAGERY-APPLICATION

EEG-Motor-Imagery-Classification---ANN

Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction

eeg-rsenet

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network