Using Logistic Regression and Principal Component Analysis to classify Alcoholic (habituated) and Control Individuals using their Electroencephalogram (EEG) signal data
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Updated
Apr 22, 2023
Using Logistic Regression and Principal Component Analysis to classify Alcoholic (habituated) and Control Individuals using their Electroencephalogram (EEG) signal data
EEG classification project. Uses a variety of classifiers and methods to parse EEG data.
Python code for decoding EEG motor imagery conditions using a convolutional neural network.
EEG and AUDIO data synchronization tool that maps aduio or other other stimuli to the eeg data based on triggers in eeg and markers in the audio
Repository for the paper "TrustLapse: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring"
Machine Learning based Brain Computer Interface (BCI) by analyzing EEG Data using PyTorch
A plug-in for the EEG lab toolbox to implement Artifact Subspace Reconstruction cleaning with whole-night sleep EEG
BIDSAlign a library for preprocessing and align multiple datasets to a common template.
This repository contains the data analysis for my bachelor's degree thesis project. We used optimal transport's induced distances between probability distributions to analyze human neurophysiological data. The full thesis is available at:
Data from 11 subjects that took part in a Human-Agent Collaboration experiment. The name of the paper is "Brain computer interface to distinguish between self and other related errors in human agent collaboration" published in Scientific Reports.
MATLAB CLI program to visualize EEG data for 32 and 21 channel EEG systems.
Code for applying personalized classifier selection to EEG data
Scripts criados para construção de conjuntos de dados de EEG através dos arquivos BrainVision (.eeg, .vhdr, .vmrk) com o auxílio da toolbox EEGLab e atribuição de rótulos para cada ERP.
Code to analyze high-density EEG and concurrent EMG/EOG datastreams during balance perturbations (replicates results from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088363/)
Are You Human?
Code and documentation for the winning sollution to the Grasp-and-Lift EEG Detection challenge
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