it-ruanjie's repositories

A-major-depressive-disorder-classifcation-framework-based-on-EEG-signals-using-statistical-spectral

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

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Automated-EEG-Sleep-Staging

A sample MATLAB codes for performing sleep staging

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DeepSeparator

Deep learning model for EEG artifact removal

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dyconnmap

A dynamic connectome mapping module in python.

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eeg-preictal-identification-epilepsy

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.

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EEGdenoiseNet

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.

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eeglib

A library with tools for EEG analysis

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eegtools-matlab-pipeline

Complete EEG analysis framework written in matlab, using EEGLAB and BRAINSTORM

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fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

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gramm

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.

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HAPPE

EEG Pre-Processing Pipeline

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HarMNqEEG

HarMNqEEG: provid the MATLAB code for the evaluation of batch harmonized z-scores based on the multinational norms.

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Hurst-Exponent-Matlab

Calculate hurst exponent using aggregated variance method (聚合方差法计算Hurst指数)

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HurstExponent

MATLAB code to find Hurst Exponent

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LeadField-Pipeline

Generate MEEG lead field pipeline

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Microstate-EEGlab-toolbox

Microstate EEGlab toolbox

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mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

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node2vec

Implementation of the node2vec algorithm.

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PaLOS-index

a metric to detect removal of brain signals with artifact correction

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pyeeg

Python + EEG/MEG = PyEEG

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pyRiemann

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

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qEEGkit

misc codes for qEEG

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roiconnect

ROI connectivity analysis in EEG

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SimMEEG

Software for simulating MEG and EEG event-related responses. functional connectivity, and phase-amplitude coupling

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Unified-EEG-reference-rREST

Unified Bayesian Estimator of EEG Reference at Infinity: rREST (Regularized Reference Electrode Standardization Technique)

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