Pinned 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
automagic
Automagic
Automated-EEG-Sleep-Staging
A sample MATLAB codes for performing sleep staging
BC-V_group_stat
BIDS-Lossless-EEG
The BIDS Lossless EEG Pipeline
BrainNetSimulation
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
ccm
Convergent Cross Mapping
covariancetoolbox
Covariance toolbox for matlab, including riemannian geometry
DeepSeparator
Deep learning model for EEG artifact removal
HurstExponent
MATLAB code to find Hurst Exponent
it-ruanjie's Repositories
it-ruanjie/HurstExponent
MATLAB code to find Hurst Exponent
it-ruanjie/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
it-ruanjie/Automated-EEG-Sleep-Staging
A sample MATLAB codes for performing sleep staging
it-ruanjie/DeepSeparator
Deep learning model for EEG artifact removal
it-ruanjie/dev_burst_analysis
it-ruanjie/dyconnmap
A dynamic connectome mapping module in python.
it-ruanjie/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.
it-ruanjie/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.
it-ruanjie/eeglib
A library with tools for EEG analysis
it-ruanjie/EEGQC
it-ruanjie/eegtools-matlab-pipeline
Complete EEG analysis framework written in matlab, using EEGLAB and BRAINSTORM
it-ruanjie/fieldtrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
it-ruanjie/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.
it-ruanjie/HAPPE
EEG Pre-Processing Pipeline
it-ruanjie/HarMNqEEG
HarMNqEEG: provid the MATLAB code for the evaluation of batch harmonized z-scores based on the multinational norms.
it-ruanjie/Hurst-Exponent-Matlab
Calculate hurst exponent using aggregated variance method （聚合方差法计算Hurst指数）
it-ruanjie/LeadField-Pipeline
Generate MEEG lead field pipeline
it-ruanjie/Microstate-EEGlab-toolbox
Microstate EEGlab toolbox
it-ruanjie/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
it-ruanjie/node2vec
Implementation of the node2vec algorithm.
it-ruanjie/PaLOS-index
a metric to detect removal of brain signals with artifact correction
it-ruanjie/pyeeg
Python + EEG/MEG = PyEEG
it-ruanjie/pyRiemann
Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface
it-ruanjie/qEEGkit
misc codes for qEEG
it-ruanjie/roiconnect
ROI connectivity analysis in EEG
it-ruanjie/SimMEEG
Software for simulating MEG and EEG event-related responses. functional connectivity, and phase-amplitude coupling
it-ruanjie/source-reconstruction
it-ruanjie/stats_eegfeatures
it-ruanjie/Unified-EEG-reference-rREST
Unified Bayesian Estimator of EEG Reference at Infinity: rREST (Regularized Reference Electrode Standardization Technique)
it-ruanjie/var-RSNs