[Project] CNN-based for single-channel sleep-state classification
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Updated
Jul 2, 2019
[Project] CNN-based for single-channel sleep-state classification
A workshop introducing the hu-neuro-pipeline package for single trial EEG processing
Introduction to Neurotechnology Coursework @ UofT
A plug-in for the EEG lab toolbox to implement Artifact Subspace Reconstruction cleaning with whole-night sleep EEG
EEG RTool is my End-of-Degree project and is a web tool for EEG signals processing. This repository contains the document of this web tool and all project (written in Spanish).
EEG RTool is my End-of-Degree project and is a web tool for EEG signals processing. This repository contains the slides of project's defense (written in Spanish).
wCompass: An easy and intuitive toolbox for analysing and displaying EEG data.
Class wrapper of the yasa package to detect drowsiness/sleep phase using EEG data
Classification of intellectual and developmental disorder subjects and healthy controls using EEG signals
EEG RTool is my End-of-Degree project and is a web tool for EEG signals processing. This repository contains the user manual of this web tool.
Será que a eletroencefalografia (EEG) é capaz de identificar padrões cerebrais de erros e acertos durante um arremesso no basquetebol? E se estimular eletricamente o cérebro de um atleta, contribuiria para ele não pensar durante momentos decisórios? Será que o comportamento do olhar (local que o atleta olha) indica o nível de experiência? O tre…
Period Amplitude Analysis (PAA) for slow wave detection using eeglab
Using machine learning on features extracted from EEG data (brain waves) to predict human reaction times.
The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
Proof of concept High Frequency Oscillations (HFO) detector using new Time-Frequency analysis methods
Electroencephalography signal analysis and visualization
This contains a generic EEG processing pipeline inspired by the HAPPE pipeline, in Matlab using EEGLab.
F12 switch for ACAT, supporting the Neurosky Mindwave Mobile 2. Includes a foundation GUI for assistive sensors on Windows written in wxPython.
Estimating evoked responses
EEG signals can be used to detect the mental state of a person which can have applications in machine learning. This repo gives an introduction to EEG signal analysis using MNE python library and describes the setup, the data preprocessing, data visualization and segmentation into epochs.
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