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This paper proposes a machine learning framework for MDD diagnosis, which uses different types of EEG-derived features. The features are extracted using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis methods. The sequential backward feature selection (SBFS) algorithm is also employed to perform feature selection. Va
Automagic
A sample MATLAB codes for performing sleep staging
The BIDS Lossless EEG Pipeline
This is a framework for simulating dynamics of a network using ARMA model - can be used in corporation with mrC.Simulate to generate simulated EEG
Convergent Cross Mapping
Covariance toolbox for matlab, including riemannian geometry
Deep learning model for EEG artifact removal
A dynamic connectome mapping module in python.
This repository contains code that yielded the results presented in a preprint entitled: "Unsupervised EEG Preictal Interval Identification in Patients with Drug-resistant Epilepsy". The code will be uploaded soon.
A MATLAB application to automatize analysis of EEG data
EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.
A library with tools for EEG analysis
EEG microstate spectral analysis
Complete EEG analysis framework written in matlab, using EEGLAB and BRAINSTORM
A repository for tools that help plotting EEG data.
The MATLAB toolbox for MEG, EEG and iEEG analysis
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
EEG Pre-Processing Pipeline
HarMNqEEG: provid the MATLAB code for the evaluation of batch harmonized z-scores based on the multinational norms.
Calculate hurst exponent using aggregated variance method (聚合方差法计算Hurst指数)
MATLAB code to find Hurst Exponent
Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.
Generate MEEG lead field pipeline
A set of graph/networks analysis functions in Octave. This fork focuses on MATLAB compatibility.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.