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#

eeg-analysis

Here are 277 public repositories matching this topic...

brainflow

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

  • UpdatedOct 26, 2025
  • C++

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

  • UpdatedMar 15, 2025
  • Python

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

  • UpdatedJul 10, 2019
  • Jupyter Notebook

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

  • UpdatedSep 26, 2025
  • Jupyter Notebook

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

  • UpdatedMay 19, 2023
  • Python

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

  • UpdatedMar 18, 2024
  • Python

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

  • UpdatedJun 30, 2025
  • R

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

  • UpdatedJul 27, 2024
  • Python

Analyze and manipulate EEG data using PyEEGLab.

  • UpdatedDec 5, 2020
  • Python
CHB-MIT-data-preprocessing-and-prediction

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.

  • UpdatedNov 22, 2023
  • Python
  • UpdatedNov 4, 2025
  • Python

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

  • UpdatedAug 24, 2022
  • Jupyter Notebook

The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.

  • UpdatedApr 13, 2025
  • Python

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。

  • UpdatedMay 11, 2025
  • Jupyter Notebook
Muse-Analysis-Tools

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

  • UpdatedJan 13, 2024
  • Python

Python implemementation of the FBCSP algorithm

  • UpdatedJun 4, 2024
  • Python

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