Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study

Non-pathological mental fatigue is a recurring, but undesirable condition among people in the fields of office work, industry, and education. This type of mental fatigue can often lead to negative outcomes, such as performance reduction and cognitive impairment in education; loss of focus and burnou...

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Autores principales:	Mauricio A. Ramírez-Moreno, Patricio Carrillo-Tijerina, Milton Osiel Candela-Leal, Myriam Alanis-Espinosa, Juan Carlos Tudón-Martínez, Armando Roman-Flores, Ricardo A. Ramírez-Mendoza, Jorge de J. Lozoya-Santos
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fatigue biometrics electroencephalography modeling wearable sensors Medicine R
Acceso en línea:	https://doaj.org/article/08397ca988f4414ea45d8adae57f2511
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spelling	oai:doaj.org-article:08397ca988f4414ea45d8adae57f25112021-11-25T17:49:14ZEvaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study10.3390/ijerph1822118911660-46011661-7827https://doaj.org/article/08397ca988f4414ea45d8adae57f25112021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/11891https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Non-pathological mental fatigue is a recurring, but undesirable condition among people in the fields of office work, industry, and education. This type of mental fatigue can often lead to negative outcomes, such as performance reduction and cognitive impairment in education; loss of focus and burnout syndrome in office work; and accidents leading to injuries or death in the transportation and manufacturing industries. Reliable mental fatigue assessment tools are promising in the improvement of performance, mental health and safety of students and workers, and at the same time, in the reduction of risks, accidents and the associated economic loss (e.g., medical fees and equipment reparations). The analysis of biometric (brain, cardiac, skin conductance) signals has proven to be effective in discerning different stages of mental fatigue; however, many of the reported studies in the literature involve the use of long fatigue-inducing tests and subject-specific models in their methodologies. Recent trends in the modeling of mental fatigue suggest the usage of non subject-specific (general) classifiers and a time reduction of calibration procedures and experimental setups. In this study, the evaluation of a fast and short-calibration mental fatigue assessment tool based on biometric signals and inter-subject modeling, using multiple linear regression, is presented. The proposed tool does not require fatigue-inducing tests, which allows fast setup and implementation. Electroencephalography, photopletismography, electrodermal activity, and skin temperature from 17 subjects were recorded, using an OpenBCI helmet and an Empatica E4 wristband. Correlations to self-reported mental fatigue levels (using the fatigue assessment scale) were calculated to find the best mental fatigue predictors. Three-class mental fatigue models were evaluated, and the best model obtained an accuracy of 88% using three features, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>β</mi><mo>/</mo><mi>θ</mi></mrow></semantics></math></inline-formula> (C3), and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>α</mi><mo>/</mo><mi>θ</mi></mrow></semantics></math></inline-formula> (O2 and C3) ratios, from one minute of electroencephalography measurements. The results from this pilot study show the feasibility and potential of short-calibration procedures and inter-subject classifiers in mental fatigue modeling, and will contribute to the use of wearable devices for the development of tools oriented to the well-being of workers and students, and also in daily living activities.Mauricio A. Ramírez-MorenoPatricio Carrillo-TijerinaMilton Osiel Candela-LealMyriam Alanis-EspinosaJuan Carlos Tudón-MartínezArmando Roman-FloresRicardo A. Ramírez-MendozaJorge de J. Lozoya-SantosMDPI AGarticlefatiguebiometricselectroencephalographymodelingwearable sensorsMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11891, p 11891 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fatigue biometrics electroencephalography modeling wearable sensors Medicine R
spellingShingle	fatigue biometrics electroencephalography modeling wearable sensors Medicine R Mauricio A. Ramírez-Moreno Patricio Carrillo-Tijerina Milton Osiel Candela-Leal Myriam Alanis-Espinosa Juan Carlos Tudón-Martínez Armando Roman-Flores Ricardo A. Ramírez-Mendoza Jorge de J. Lozoya-Santos Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study
description	Non-pathological mental fatigue is a recurring, but undesirable condition among people in the fields of office work, industry, and education. This type of mental fatigue can often lead to negative outcomes, such as performance reduction and cognitive impairment in education; loss of focus and burnout syndrome in office work; and accidents leading to injuries or death in the transportation and manufacturing industries. Reliable mental fatigue assessment tools are promising in the improvement of performance, mental health and safety of students and workers, and at the same time, in the reduction of risks, accidents and the associated economic loss (e.g., medical fees and equipment reparations). The analysis of biometric (brain, cardiac, skin conductance) signals has proven to be effective in discerning different stages of mental fatigue; however, many of the reported studies in the literature involve the use of long fatigue-inducing tests and subject-specific models in their methodologies. Recent trends in the modeling of mental fatigue suggest the usage of non subject-specific (general) classifiers and a time reduction of calibration procedures and experimental setups. In this study, the evaluation of a fast and short-calibration mental fatigue assessment tool based on biometric signals and inter-subject modeling, using multiple linear regression, is presented. The proposed tool does not require fatigue-inducing tests, which allows fast setup and implementation. Electroencephalography, photopletismography, electrodermal activity, and skin temperature from 17 subjects were recorded, using an OpenBCI helmet and an Empatica E4 wristband. Correlations to self-reported mental fatigue levels (using the fatigue assessment scale) were calculated to find the best mental fatigue predictors. Three-class mental fatigue models were evaluated, and the best model obtained an accuracy of 88% using three features, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>β</mi><mo>/</mo><mi>θ</mi></mrow></semantics></math></inline-formula> (C3), and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>α</mi><mo>/</mo><mi>θ</mi></mrow></semantics></math></inline-formula> (O2 and C3) ratios, from one minute of electroencephalography measurements. The results from this pilot study show the feasibility and potential of short-calibration procedures and inter-subject classifiers in mental fatigue modeling, and will contribute to the use of wearable devices for the development of tools oriented to the well-being of workers and students, and also in daily living activities.
format	article
author	Mauricio A. Ramírez-Moreno Patricio Carrillo-Tijerina Milton Osiel Candela-Leal Myriam Alanis-Espinosa Juan Carlos Tudón-Martínez Armando Roman-Flores Ricardo A. Ramírez-Mendoza Jorge de J. Lozoya-Santos
author_facet	Mauricio A. Ramírez-Moreno Patricio Carrillo-Tijerina Milton Osiel Candela-Leal Myriam Alanis-Espinosa Juan Carlos Tudón-Martínez Armando Roman-Flores Ricardo A. Ramírez-Mendoza Jorge de J. Lozoya-Santos
author_sort	Mauricio A. Ramírez-Moreno
title	Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study
title_short	Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study
title_full	Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study
title_fullStr	Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study
title_full_unstemmed	Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study
title_sort	evaluation of a fast test based on biometric signals to assess mental fatigue at the workplace—a pilot study
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/08397ca988f4414ea45d8adae57f2511
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Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study

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