Detecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG

Epworth sleepiness scale is a self-assessment method in sleep medicine that has been proven to be a good predictor of obstructive sleep apnea. However, the over-reliance of the method making the process not socially distancing friendly enough in response to a global covid-19 pandemic. A study states...

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Autores principales:	I Putu Agus Eka Darma Udayana, Made Sudarma, Ni Wayan Sri Ariyani
Formato:	article
Lenguaje:	ID
Publicado:	Universitas Udayana 2021
Materias:	Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/fe8bbd59475345a7a474a48412ea39ee
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spelling	oai:doaj.org-article:fe8bbd59475345a7a474a48412ea39ee2021-12-01T04:18:06ZDetecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG2088-15412541-583210.24843/LKJITI.2021.v12.i03.p06https://doaj.org/article/fe8bbd59475345a7a474a48412ea39ee2021-11-01T00:00:00Zhttps://ojs.unud.ac.id/index.php/lontar/article/view/75968https://doaj.org/toc/2088-1541https://doaj.org/toc/2541-5832Epworth sleepiness scale is a self-assessment method in sleep medicine that has been proven to be a good predictor of obstructive sleep apnea. However, the over-reliance of the method making the process not socially distancing friendly enough in response to a global covid-19 pandemic. A study states that the Epworth sleepiness scale is correlated with the brainwave signal that commercial-grade EEG can capture. This study tried to train a classifier powered by CNN and deep learning that could perform as well as the Epworth with the objectiveness of brainwave signal. We test the classifier using the 20 university student using the Epworth sleepiness test beforehand. Then, we put the participant in 10 minutes EEG session, downsampling the data for normalization purposes and trying to predict the outcome of the ESS in respect of their brainwave state. The AI predict the reaching 65% of accuracy and 81% of sensitivity with just under 100.000 dataset which is excellent considering small dataset although this still have plenty room for improvement.I Putu Agus Eka Darma UdayanaMade SudarmaNi Wayan Sri AriyaniUniversitas UdayanaarticleElectronic computers. Computer scienceQA75.5-76.95IDLontar Komputer, Vol 12, Iss 3, Pp 186-195 (2021)
institution	DOAJ
collection	DOAJ
language	ID
topic	Electronic computers. Computer science QA75.5-76.95
spellingShingle	Electronic computers. Computer science QA75.5-76.95 I Putu Agus Eka Darma Udayana Made Sudarma Ni Wayan Sri Ariyani Detecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG
description	Epworth sleepiness scale is a self-assessment method in sleep medicine that has been proven to be a good predictor of obstructive sleep apnea. However, the over-reliance of the method making the process not socially distancing friendly enough in response to a global covid-19 pandemic. A study states that the Epworth sleepiness scale is correlated with the brainwave signal that commercial-grade EEG can capture. This study tried to train a classifier powered by CNN and deep learning that could perform as well as the Epworth with the objectiveness of brainwave signal. We test the classifier using the 20 university student using the Epworth sleepiness test beforehand. Then, we put the participant in 10 minutes EEG session, downsampling the data for normalization purposes and trying to predict the outcome of the ESS in respect of their brainwave state. The AI predict the reaching 65% of accuracy and 81% of sensitivity with just under 100.000 dataset which is excellent considering small dataset although this still have plenty room for improvement.
format	article
author	I Putu Agus Eka Darma Udayana Made Sudarma Ni Wayan Sri Ariyani
author_facet	I Putu Agus Eka Darma Udayana Made Sudarma Ni Wayan Sri Ariyani
author_sort	I Putu Agus Eka Darma Udayana
title	Detecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG
title_short	Detecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG
title_full	Detecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG
title_fullStr	Detecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG
title_full_unstemmed	Detecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG
title_sort	detecting excessive daytime sleepiness with cnn and commercial grade eeg
publisher	Universitas Udayana
publishDate	2021
url	https://doaj.org/article/fe8bbd59475345a7a474a48412ea39ee
work_keys_str_mv	AT iputuagusekadarmaudayana detectingexcessivedaytimesleepinesswithcnnandcommercialgradeeeg AT madesudarma detectingexcessivedaytimesleepinesswithcnnandcommercialgradeeeg AT niwayansriariyani detectingexcessivedaytimesleepinesswithcnnandcommercialgradeeeg
_version_	1718405940403765248

Detecting Excessive Daytime Sleepiness With CNN And Commercial Grade EEG

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