BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
EntroPy: complexity of time-series in Python (DEPRECATED)
Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.
The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
An R package for processing and plotting of electroencephalography (EEG) data
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
IEEE Transactions on Emerging Topics in Computational Intelligence
Analyze and manipulate EEG data using PyEEGLab.
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.
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
A set of tools to analyze and create charts from Muse EEG devices.
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。
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.