eeg-analysis
There are 227 repositories under eeg-analysis topic.
brainflow-dev/brainflow
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
raphaelvallat/yasa
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
aliasvishnu/EEGNet
[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf
SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
raphaelvallat/entropy
EntroPy: complexity of time-series in Python (DEPRECATED)
SMorettini/CNNs-on-CHB-MIT
The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
craddm/eegUtils
An R package for processing and plotting of electroencephalography (EEG) data
dreamento/dreamento
Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.
AlessioZanga/PyEEGLab
Analyze and manipulate EEG data using PyEEGLab.
guangyizhangbci/EEG_Riemannian
IEEE Transactions on Emerging Topics in Computational Intelligence
sari-saba-sadiya/EEGExtract
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
digital-cinema-arts/Muse-Analysis-Tools
A set of tools to analyze and create charts from Muse EEG devices.
jesus-333/FBCSP-Python
Python implemementation of the FBCSP algorithm
Z-Fran/DEAP-EEG-Emotion-Analyse-and-Classify
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。
Ildaron/3.eeg_recognation
Machine learning for Anonymous detection of an alcoholic by EEG signals
IoBT-VISTEC/EEGANet
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
BIAPT/EEGapp
A MATLAB application to automatize analysis of EEG data
ssaket/eeg-pipeline
End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python
ValentinaUn/Fast-permutation-entropy
MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows
bnicenboim/eeguana
A package for manipulating EEG data in R.
patrk/pyPTE
Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy
KonstantinosBarmpas/Advanced-Machine-Learning-Projects
[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.
CisottoGiulia/EEG-EMG-analytics
This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).
comojin1994/DFformer
Towards Domain Free Transformer for Generalized EEG Pre-training
mvidaldp/Traumschreiber-mobileEEG
Android app for EEG data visualization and recording with the Traumschreiber BLE device
remnrem/luna-base
Luna software for sleep EEG analysis (base)
teanijarv/EEG-pyline
EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
ngebodh/GX_tES_EEG_Physio_Behavior
Supporting code for the GX Dataset
pktparticle/bciBasedWheelchair
Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
alexenge/hu-neuro-pipeline
Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin
kevmtan/electroCUDA
Robust electrophysiology tools with GPU acceleration
tothemoon10080/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.
DevinHillenius/brain-powered
With the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.
jcdemunck5/DMS_Projects
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.