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Developing an EEG-based on-line closed-loop lapse detection and mitigation system

In America, 60% of adults reported that they have driven a motor vehicle while feeling drowsy, and at least 15–20% of fatal car accidents are fatigue-related. This study translates previous laboratory-oriented neurophysiological research to design, develop, and test an On-line Closed-loop Lapse Dete...

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Autores principales: Wang, Yu-Te, Huang, Kuan-Chih, Wei, Chun-Shu, Huang, Teng-Yi, Ko, Li-Wei, Lin, Chin-Teng, Cheng, Chung-Kuan, Jung, Tzyy-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195274/
https://www.ncbi.nlm.nih.gov/pubmed/25352773
http://dx.doi.org/10.3389/fnins.2014.00321
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author Wang, Yu-Te
Huang, Kuan-Chih
Wei, Chun-Shu
Huang, Teng-Yi
Ko, Li-Wei
Lin, Chin-Teng
Cheng, Chung-Kuan
Jung, Tzyy-Ping
author_facet Wang, Yu-Te
Huang, Kuan-Chih
Wei, Chun-Shu
Huang, Teng-Yi
Ko, Li-Wei
Lin, Chin-Teng
Cheng, Chung-Kuan
Jung, Tzyy-Ping
author_sort Wang, Yu-Te
collection PubMed
description In America, 60% of adults reported that they have driven a motor vehicle while feeling drowsy, and at least 15–20% of fatal car accidents are fatigue-related. This study translates previous laboratory-oriented neurophysiological research to design, develop, and test an On-line Closed-loop Lapse Detection and Mitigation (OCLDM) System featuring a mobile wireless dry-sensor EEG headgear and a cell-phone based real-time EEG processing platform. Eleven subjects participated in an event-related lane-keeping task, in which they were instructed to manipulate a randomly deviated, fixed-speed cruising car on a 4-lane highway. This was simulated in a 1st person view with an 8-screen and 8-projector immersive virtual-reality environment. When the subjects experienced lapses or failed to respond to events during the experiment, auditory warning was delivered to rectify the performance decrements. However, the arousing auditory signals were not always effective. The EEG spectra exhibited statistically significant differences between effective and ineffective arousing signals, suggesting that EEG spectra could be used as a countermeasure of the efficacy of arousing signals. In this on-line pilot study, the proposed OCLDM System was able to continuously detect EEG signatures of fatigue, deliver arousing warning to subjects suffering momentary cognitive lapses, and assess the efficacy of the warning in near real-time to rectify cognitive lapses. The on-line testing results of the OCLDM System validated the efficacy of the arousing signals in improving subjects' response times to the subsequent lane-departure events. This study may lead to a practical on-line lapse detection and mitigation system in real-world environments.
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spelling pubmed-41952742014-10-28 Developing an EEG-based on-line closed-loop lapse detection and mitigation system Wang, Yu-Te Huang, Kuan-Chih Wei, Chun-Shu Huang, Teng-Yi Ko, Li-Wei Lin, Chin-Teng Cheng, Chung-Kuan Jung, Tzyy-Ping Front Neurosci Neuroscience In America, 60% of adults reported that they have driven a motor vehicle while feeling drowsy, and at least 15–20% of fatal car accidents are fatigue-related. This study translates previous laboratory-oriented neurophysiological research to design, develop, and test an On-line Closed-loop Lapse Detection and Mitigation (OCLDM) System featuring a mobile wireless dry-sensor EEG headgear and a cell-phone based real-time EEG processing platform. Eleven subjects participated in an event-related lane-keeping task, in which they were instructed to manipulate a randomly deviated, fixed-speed cruising car on a 4-lane highway. This was simulated in a 1st person view with an 8-screen and 8-projector immersive virtual-reality environment. When the subjects experienced lapses or failed to respond to events during the experiment, auditory warning was delivered to rectify the performance decrements. However, the arousing auditory signals were not always effective. The EEG spectra exhibited statistically significant differences between effective and ineffective arousing signals, suggesting that EEG spectra could be used as a countermeasure of the efficacy of arousing signals. In this on-line pilot study, the proposed OCLDM System was able to continuously detect EEG signatures of fatigue, deliver arousing warning to subjects suffering momentary cognitive lapses, and assess the efficacy of the warning in near real-time to rectify cognitive lapses. The on-line testing results of the OCLDM System validated the efficacy of the arousing signals in improving subjects' response times to the subsequent lane-departure events. This study may lead to a practical on-line lapse detection and mitigation system in real-world environments. Frontiers Media S.A. 2014-10-13 /pmc/articles/PMC4195274/ /pubmed/25352773 http://dx.doi.org/10.3389/fnins.2014.00321 Text en Copyright © 2014 Wang, Huang, Wei, Huang, Ko, Lin, Cheng and Jung. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Wang, Yu-Te
Huang, Kuan-Chih
Wei, Chun-Shu
Huang, Teng-Yi
Ko, Li-Wei
Lin, Chin-Teng
Cheng, Chung-Kuan
Jung, Tzyy-Ping
Developing an EEG-based on-line closed-loop lapse detection and mitigation system
title Developing an EEG-based on-line closed-loop lapse detection and mitigation system
title_full Developing an EEG-based on-line closed-loop lapse detection and mitigation system
title_fullStr Developing an EEG-based on-line closed-loop lapse detection and mitigation system
title_full_unstemmed Developing an EEG-based on-line closed-loop lapse detection and mitigation system
title_short Developing an EEG-based on-line closed-loop lapse detection and mitigation system
title_sort developing an eeg-based on-line closed-loop lapse detection and mitigation system
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4195274/
https://www.ncbi.nlm.nih.gov/pubmed/25352773
http://dx.doi.org/10.3389/fnins.2014.00321
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