EEG_Blink

This project provides a blink detection function for EEG data, utilizing various deep-learning models and preprocessing techniques.
140 Downloads
Updated 3 Jul 2023

EEG Blink detector

Notice: This is not "Blink" or "Blinker", but This project also provides a blink detection plugin for EEGLAB and a detect function. This project is being closely watched and updated continuously. If you have any suggestions or find any issues, please leave your review or discussion, or contact the email below.

This project provides a blink detection function for EEG data, utilizing various deep learning models and preprocessing techniques.

Currently, the available functionality is in a function detectBlink, and an EEGLAB plugin. You just need to input Fp1, Fp2, and Fz (or at least one of Fp1 and Fp2) along with the sampling frequency.

To use the detectBlinks function, ensure that the Package and Models folders are included in your MATLAB search path.

this is a blink finding function

An example of the function is in Package/examlpe.pdf (Package/examlpe.mlx).

File exchange repository

View EEG_Blink on File Exchange

Project

The project's experiments with various deep learning models and EEG preprocessing for blink detection. Currently the following classes of models have been invistigated:

  • LSTM

  • biLSTM

  • 1 dimension CNN

    Apply 1 dimentional kernel on time series data.

  • TCN

    Temporal convolutional network. Dilated convolution applied, to increase the receptive field.

  • WTCNN

    3 EEG channels converted to images representing wavelet coefficients, then CNN applied.

Not efficient and discarded models:

  • WTLSTM
  • LSTM followed CNN

Upcoming experiment on this:

  • transformer model applies attention mechanisms

Experiment pipeline

image An example of working pipeline rebuilt in beginToEndPipeline.m file. If you want to run it, please download whole EEG_Blink to include all helper function.

Contributors:

  • Yiding Qiu
  • Artem Lenskiy

Contact

Yiding.Qiu@anu.edu.au

qiu-yiding@qq.com


Dataset

[1]Alexander P. Rockhill and Nicko Jackson and Jobi George and Adam Aron and Nicole C. Swann (2020). UC San Diego Resting State EEG Data from Patients with Parkinson's Disease. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds002778.v1.0.4 https://openneuro.org/datasets/ds002778/versions/1.0.2

[2]Paprocki, Rafal, Gebrehiwot, Temesgen, Gradinscak, Marija, and Artem Lenskiy. "Extracting Blink Rate Variability from EEG Signals." arXiv, (2016). https://doi.org/10.48550/arXiv.1603.03031.

Dependencies

[1]Deep Learning Toolbox

Cite As

Yiding Qiu (2024). EEG_Blink (https://github.com/YidingQiu/EEG_Blink), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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DataPreparation

HyperParameterSearch

HyperParameterSearch/CNN

HyperParameterSearch/CovMix

HyperParameterSearch/LSTM

HyperParameterSearch/LSTMCNN

HyperParameterSearch/TCN

Models

Models/customLayers

Package

Package/EEG_Blink

Package/Helper

ProtableExperimentProcess

ProtableExperimentProcess/DataPreparation

ProtableExperimentProcess/HyperParameterSearch

ProtableExperimentProcess/HyperParameterSearch/CNN

ProtableExperimentProcess/HyperParameterSearch/ConvMixer

ProtableExperimentProcess/HyperParameterSearch/LSTM

ProtableExperimentProcess/HyperParameterSearch/TCN

ProtableExperimentProcess/Models

ProtableExperimentProcess/Models/customLayers

ProtableExperimentProcess/Test

ProtableExperimentProcess/Test/NewModelTest

ProtableExperimentProcess/TestOC

Test

Test/NewModelTest

TestOC

DataPreparation

HyperParameterSearch/CNN

HyperParameterSearch/CovMix

HyperParameterSearch/LSTM

HyperParameterSearch/LSTMCNN

HyperParameterSearch/TCN

Models

Package

ProtableExperimentProcess/DataPreparation

ProtableExperimentProcess/HyperParameterSearch/CNN

ProtableExperimentProcess/HyperParameterSearch/ConvMixer

ProtableExperimentProcess/HyperParameterSearch/LSTM

ProtableExperimentProcess/HyperParameterSearch/TCN

ProtableExperimentProcess/Models

ProtableExperimentProcess/Test

ProtableExperimentProcess/Test/NewModelTest

ProtableExperimentProcess/TestOC

Test

Test/NewModelTest

TestOC

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.3

1. plugin for EEGLAB is building up.
2. Portable experiments were set up.

1.0.2

This project is ongoing!

1.0.1

update contact

1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.