BIAPT Lab's repositories
eeg-pain-detection
Repository for detection of pain from EEG brain signals using machine learning
Python_Connectivity
This repository contains the equivalent implementation of the NEURALGO functional connectivity code for usage in Python
AEC-wPLI-comparison
This repository is for the study of AEC vs wPLI and their relation to the classification of consciousness
Aperiodic_EEG
This repo contains the code for the paper
Clustering_DOC_connectivity
K-means clustering on functional connectivity in healthy adults and patients in a DOC
awareness-perturbation-complexity-index
Development of an index for assessing the level of consciousness of healthy and disorder of consciousness individuals.
Dimensionality_reduction
This repo is from Charlotte Maschke about dimensionality reduction on dynamic functional connectivity analysis in DOC
topological_filtering_networks
Data Driven Topological Filtering of Brain Networks via Orthogonal Minimal Spanning Trees
BIDS_transformation
transform .set to .edf and add the .json
Consciousness-Graph
Repository for the study of consciousness using graph theory
EEG_Preprocessing
This repo contains code to preprocess EEG data using MNE Python
Example-Analysis
Repository for analysis example that can be reused in research projects
interpersonal-coordination
This repo contains code to measure and classify interpersonal movement coordination from cartesian coordinates
Markers
Public Repository for methods from the article 'The role of etiology in the identification of clinical markers of consciousness: comparing EEG alpha power, complexity, and spectral exponent'
mne-connectivity
Connectivity algorithms that leverage the mne-python API.
MovingWith_2019
Repository for data analysis for Moving With (2019) study
Pediatric-EEG
This repository is used for preprocessing and analyzing 26-channel EEG
Pediatric_Pain_Updated
Code for the chronic musculoskeletal pain project: baseline vs. tonic cold pain
test_eegnition
EEGnition team's submission for the 2023 PhysioNet Challenge
Tutorial_Compute_Canada
Just a super simple exercise to submit your first job to compute canada