EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving.

Huang, K-C; Tseng, C-Y; Lin, C-T

EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving.

Huang, K-C Tseng, C-Y Lin, C-T

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Open J Eng Med Biol, 2024, 5, pp. 180-190
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Huang, K-C
dc.contributor.author	Tseng, C-Y
dc.contributor.author	Lin, C-T
dc.date.accessioned	2024-08-06T01:04:39Z
dc.date.available	2024-02-11
dc.date.available	2024-08-06T01:04:39Z
dc.date.issued	2024
dc.identifier.citation	IEEE Open J Eng Med Biol, 2024, 5, pp. 180-190
dc.identifier.issn	2644-1276
dc.identifier.issn	2644-1276
dc.identifier.uri	http://hdl.handle.net/10453/180017
dc.description.abstract	A significant issue for traffic safety has been drowsy driving for decades. A number of studies have investigated the effects of acute fatigue on spectral power; and recent research has revealed that drowsy driving is associated with a variety of brain connections in a specific cortico-cortical pathway. In spite of this, it is still unclear how different brain regions are connected in drowsy driving at different levels of daily fatigue. This study identified the brain connectivity-behavior relationship among three different daily fatigue levels (low-, median- and high-fatigue) with the EEG data transfer entropy. According to the results, only low- and medium-fatigue groups demonstrated an inverted U-shaped change in connectivity from high performance to poor behavioral performance. In addition, from low- to high-fatigue groups, connectivity magnitude decreased in the frontal region and increased in the occipital region. These study results suggest that brain connectivity and driving behavior would be affected by different levels of daily fatigue.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation	http://purl.org/au-research/grants/arc/DP210101093
dc.relation	http://purl.org/au-research/grants/arc/DP220100803
dc.relation.ispartof	IEEE Open J Eng Med Biol
dc.relation.isbasedon	10.1109/OJEMB.2024.3367496
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	4003 Biomedical engineering
dc.title	EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving.
dc.type	Journal Article
utslib.citation.volume	5
utslib.location.activity	United States
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Australian Artificial Intelligence Institute (AAII)
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.date.updated	2024-08-06T01:04:30Z
pubs.publication-status	Published online
pubs.volume	5

Abstract:

A significant issue for traffic safety has been drowsy driving for decades. A number of studies have investigated the effects of acute fatigue on spectral power; and recent research has revealed that drowsy driving is associated with a variety of brain connections in a specific cortico-cortical pathway. In spite of this, it is still unclear how different brain regions are connected in drowsy driving at different levels of daily fatigue. This study identified the brain connectivity-behavior relationship among three different daily fatigue levels (low-, median- and high-fatigue) with the EEG data transfer entropy. According to the results, only low- and medium-fatigue groups demonstrated an inverted U-shaped change in connectivity from high performance to poor behavioral performance. In addition, from low- to high-fatigue groups, connectivity magnitude decreased in the frontal region and increased in the occipital region. These study results suggest that brain connectivity and driving behavior would be affected by different levels of daily fatigue.

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http://hdl.handle.net/10453/180017