EntroPy: complexity of (EEG) time-series in Python

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

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

A basic R package for processing and plotting EEG data

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

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

Analyze and manipulate EEG data using PyEEGLab.

With the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.

analysis of EEG data of alcoholic and control groups

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

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

A package for manipulating EEG data in R.

Towards Turnkey Brain-Computer Interfaces

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.

A MATLAB application to automatize analysis of EEG data

Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy

Signal processing and clustering of EEG signals

Multichannel Sleep Spindle Detector for sleep EEG

Android app for EEG data visualization and recording with the Traumschreiber BLE device

ANN4EEG is a convolutional neural network toolkit for EEG-mediated drug-target interaction prediction. This approach for drug-target interaction prediction can explain the mechanisms underlying complicated drug actions, as it allows the identification of similarities in the mechanisms of action and effects of psychotropic drugs.

Template structure for EEG analysis projects.

Python implementation of the CSP algorithm

[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.

Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks

In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person

maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.

MATLAB repository to perform basic artifact correction and analysis on electroencephalographic (EEG) data

Python based EEG analysis tool that provides a rough data overview