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Study on the Preferred Application-Oriented Index for Mental Fatigue Detection

Most of the research on mental fatigue evaluation has mainly concentrated on some indexes that require sophisticated and large instruments that make the detection of mental fatigue cumbersome, time-consuming, and difficult to apply on a large scale. A quick and sensitive mental fatigue detection ind...

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Autores principales: Duan, Tianhong, Zhang, Nong, Li, Kaiway, Hou, Xuelin, Pei, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6265841/
https://www.ncbi.nlm.nih.gov/pubmed/30441867
http://dx.doi.org/10.3390/ijerph15112555
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author Duan, Tianhong
Zhang, Nong
Li, Kaiway
Hou, Xuelin
Pei, Jun
author_facet Duan, Tianhong
Zhang, Nong
Li, Kaiway
Hou, Xuelin
Pei, Jun
author_sort Duan, Tianhong
collection PubMed
description Most of the research on mental fatigue evaluation has mainly concentrated on some indexes that require sophisticated and large instruments that make the detection of mental fatigue cumbersome, time-consuming, and difficult to apply on a large scale. A quick and sensitive mental fatigue detection index is necessary so that mentally fatigued workers can be alerted in time and take corresponding countermeasures. However, to date, no studies have compared the sensitivity of common objective evaluation indexes. To solve these problems, this study recruited 56 human subjects. These subjects were evaluated using six fatigue indexes: the Stanford sleepiness scale, digital span, digital decoding, short-term memory, critical flicker fusion frequency (CFF), and speed perception deviation. The results of the fatigue tests before and after mental fatigue were compared, and a one-way analysis of variance (ANOVA) was performed on the speed perception deviation. The results indicated the significance of this index. Considering individual differences, the relative fatigue index (RFI) was proposed to compare the sensitivity of the indexes. The results showed that when the self-rated fatigue grade changed from non-fatigue to mild fatigue, the ranges of RFI values for digital span, digital decoding, short-term memory, and CFF were 0.175–0.258, 0.194–0.316, 0.068–0.139, and 0.055–0.075, respectively. Correspondingly, when the self-rated fatigue grade changed to severe fatigue, the ranges of RFI values for the above indexes were 0.415–0.577, 0.482–0.669, 0.329–0.396, and 0.114–0.218, respectively. These results suggest that the sensitivity of the digital decoding, digital span, short-term memory, and CFF decreased sequentially when the self-evaluated fatigue grade changed from no fatigue to mild or severe fatigue. The RFI individuality of the speed perception deviation is highly variable and is not suitable as an evaluation index. In mental fatigue testing, digital decoding testing can provide faster, more convenient, and more accurate results.
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spelling pubmed-62658412018-12-15 Study on the Preferred Application-Oriented Index for Mental Fatigue Detection Duan, Tianhong Zhang, Nong Li, Kaiway Hou, Xuelin Pei, Jun Int J Environ Res Public Health Article Most of the research on mental fatigue evaluation has mainly concentrated on some indexes that require sophisticated and large instruments that make the detection of mental fatigue cumbersome, time-consuming, and difficult to apply on a large scale. A quick and sensitive mental fatigue detection index is necessary so that mentally fatigued workers can be alerted in time and take corresponding countermeasures. However, to date, no studies have compared the sensitivity of common objective evaluation indexes. To solve these problems, this study recruited 56 human subjects. These subjects were evaluated using six fatigue indexes: the Stanford sleepiness scale, digital span, digital decoding, short-term memory, critical flicker fusion frequency (CFF), and speed perception deviation. The results of the fatigue tests before and after mental fatigue were compared, and a one-way analysis of variance (ANOVA) was performed on the speed perception deviation. The results indicated the significance of this index. Considering individual differences, the relative fatigue index (RFI) was proposed to compare the sensitivity of the indexes. The results showed that when the self-rated fatigue grade changed from non-fatigue to mild fatigue, the ranges of RFI values for digital span, digital decoding, short-term memory, and CFF were 0.175–0.258, 0.194–0.316, 0.068–0.139, and 0.055–0.075, respectively. Correspondingly, when the self-rated fatigue grade changed to severe fatigue, the ranges of RFI values for the above indexes were 0.415–0.577, 0.482–0.669, 0.329–0.396, and 0.114–0.218, respectively. These results suggest that the sensitivity of the digital decoding, digital span, short-term memory, and CFF decreased sequentially when the self-evaluated fatigue grade changed from no fatigue to mild or severe fatigue. The RFI individuality of the speed perception deviation is highly variable and is not suitable as an evaluation index. In mental fatigue testing, digital decoding testing can provide faster, more convenient, and more accurate results. MDPI 2018-11-14 2018-11 /pmc/articles/PMC6265841/ /pubmed/30441867 http://dx.doi.org/10.3390/ijerph15112555 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Duan, Tianhong
Zhang, Nong
Li, Kaiway
Hou, Xuelin
Pei, Jun
Study on the Preferred Application-Oriented Index for Mental Fatigue Detection
title Study on the Preferred Application-Oriented Index for Mental Fatigue Detection
title_full Study on the Preferred Application-Oriented Index for Mental Fatigue Detection
title_fullStr Study on the Preferred Application-Oriented Index for Mental Fatigue Detection
title_full_unstemmed Study on the Preferred Application-Oriented Index for Mental Fatigue Detection
title_short Study on the Preferred Application-Oriented Index for Mental Fatigue Detection
title_sort study on the preferred application-oriented index for mental fatigue detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6265841/
https://www.ncbi.nlm.nih.gov/pubmed/30441867
http://dx.doi.org/10.3390/ijerph15112555
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