eeg-analysis

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces -https://arxiv.org/pdf/1611.08024.pdf

pytorch convolutional-neural-networks bci speller brain-computer-interface p300 eeg-analysis eeg-classification eegnet

UpdatedJul 10, 2019
Jupyter Notebook

snailpt /CTNet

Star222

CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification

cnn transformer attention bci brain-computer-interface eeg-analysis motor-imagery eeg-classification ctnet eeg-transformer mi-eeg loso mi-eeg-classification bci-iv-2a conv-transformer

UpdatedMar 13, 2025
Jupyter Notebook

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

Star215

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

python tensorflow matlab eeg eeg-signals esi tensorflow-experiments convolutional-neural-networks eeg-data brain-computer-interface motor-imagery-classification tensorflow-models motor-imagery-training cnns eeg-analysis motor-imagery eeg-classification brain-com motor-imagery-tasks

UpdatedMay 20, 2024
Python

raphaelvallat /entropy

Star157

EntroPy: complexity of time-series in Python (DEPRECATED)

python machine-learning entropy signal-processing neuroscience eeg complexity non-linear biosignals eeg-analysis eeg-classification entropy-bits features-extraction permutation-entropy

UpdatedMar 29, 2021
Python

SMorettini /CNNs-on-CHB-MIT

Star111

The project is about applying CNNs to EEG data from CHB-MIT to predict seizure

seizure-prediction cnn-keras eeg-analysis chb-mit

UpdatedMay 19, 2023
Python

craddm /eegUtils

Star106

An R package for processing and plotting of electroencephalography (EEG) data

r eeg rstats eeg-signals eeg-data eeg-analysis eeg-signals-processing

UpdatedNov 1, 2024
R

dreamento /dreamento

Star94

Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.

python real-time sleep lucid-dreaming dream eeg-analysis sleep-analysis automatic-sleep-analysis dream-engineering

UpdatedMar 18, 2024
Python

sari-saba-sadiya /EEGExtract

Star65

A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.

eeg-analysis eeg-signals-processing extracting-eeg-features eeg-features

UpdatedJul 27, 2024
Python

guangyizhangbci /EEG_Riemannian

Star63

IEEE Transactions on Emerging Topics in Computational Intelligence

deep-learning feature-engineering motor-imagery-classification eeg-analysis affective long-short-term-memory riemannian-geometry vigilance-estimation

UpdatedDec 2, 2023
Python

AlessioZanga /PyEEGLab

Star61

Analyze and manipulate EEG data using PyEEGLab.

tensorflow keras eeg dataset preprocessing eeg-data mne-python eeg-analysis eeg-classification eeg-signals-processing

UpdatedDec 5, 2020
Python

vferat /pycrostates

Star39

eeg eeg-analysis

UpdatedMar 18, 2025
Python

digital-cinema-arts /Muse-Analysis-Tools

Star36

A set of tools to analyze and create charts from Muse EEG devices.

eeg muse-headband eeg-headband eeg-analysis eeg-classification eeg-signals-processing

UpdatedJan 13, 2024
Python

Z-Fran /DEAP-EEG-Emotion-Analyse-and-Classify

Star35

Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析，使用python和DEAP数据集。

emotion-analysis eeg-analysis eeg-classification deap-dataset

UpdatedApr 10, 2022
Jupyter Notebook

IoBT-VISTEC /EEGANet

Star34

EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)

neural-network eeg eeg-signals deeplearning bci brain-computer-interface eeglab eeg-analysis eeg-signals-processing deepneuralnetworks eegnet

UpdatedAug 24, 2022
Jupyter Notebook

tothemoon10080 /CHB-MIT-data-preprocessing-and-prediction

Star33

This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cleansing, feature extraction, and handling imbalanced datasets, aimed at improving the accuracy of seizure prediction.

python machine-learning signal-processing feature-extraction data-preprocessing eeg-analysis healthcare-analytics epilepsy-prediction chb-mit-dataset