There are 11 repositories under eeg-analysis topic.
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)
The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
Analyze and manipulate EEG data using PyEEGLab.
Accepted in IEEE Transactions on Emerging Topics in Computational Intelligence
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
A set of tools to analyze and create charts from Muse EEG devices.
Python implemementation of the FBCSP algorithm
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。
Machine learning for Anonymous detection of an alcoholic by EEG signals
MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python
A package for manipulating EEG data in R.
[ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) during the academic year 2019-2020.
Android app for EEG data visualization and recording with the Traumschreiber BLE device
This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).
Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin
With the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.
Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
EEG/MEG data preprocessing and analyses framework
Towards Domain Free Transformer for Generalized EEG Pre-training
These C/C++ source files consist of 150 classes, 300,000 lines of code, excluding a Qt-based user interface. Its functionality includes: GLM-statistics, hierarchical clustering, (non)-linear optimization, L1 and L2 norm minimization, Hungarian algorithm, EEG/MEG forward and inverse modelling, Boundary Element Method, spatio/temporal covariance modelling, image fusion, triangular meshes, KD-trees, topological error correction, marching cubes & spherical triangulations, sparse matrices and matrix operations, spherical harmonics, wavelets, spectra and spectrograms, Fast Fourier transform (FFTWest), data import for many different EEG/MEG data formats, data import for many image data formats.
Robust electrophysiology tools with GPU acceleration
Towards Turnkey Brain-Computer Interfaces
HFO classification