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.

[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)

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

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

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

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。

Python implemementation of the FBCSP algorithm

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

Machine learning for Anonymous detection of an alcoholic by EEG signals

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.

A MATLAB application to automatize analysis of EEG data

MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows