Gender differences in professional drivers’ fatigue level measured with BAlert mobile app: A psychophysiological, time efficient, accessible, and innovative approach to fatigue management
Entity
UAM. Departamento de Educación Física, Deporte y Motricidad HumanaPublisher
Frontiers MediaDate
2022-08-01Citation
10.3389/fpsyg.2022.953959
Front. Psychol. 13 (2022): 953959 1-10
ISSN
16641078DOI
10.3389/fpsyg.2022.953959Editor's Version
https://doi:10.3389/fpsyg.2022.953959Subjects
app; gender; heart rate variability; mental fatigue; Stroop effect; EducaciónRights
© 2022 De La Vega, Anabalon, Tannion, Purto and JaraAbstract
Addressing fatigue is useful in a variety of scenarios and activities. Fatigue has recently been studied from a psychophysiological standpoint. As a result, the expression and impact of peripheral and central fatigue has been evaluated. Driving is one occupation where tiredness has disastrous consequences. BAlert is a smartphone app that approaches exhaustion with psychophysiological measures. More specifically, it evaluates the level of fatigue via heart rate variability (HRV) data and the cognitive compromise via Stroop effect. The goal of this study is to determine if there are gender differences in fatigue levels among professional drivers using the BAlert app. Statistically significant differences were found in the number of hours awake, in different parameters of HRV (AVNN, PNN50, RMSSD, and SDNN), in the level of stress, as well as in the cognitive response evaluated through the app. The results are discussed and their implications for the management of work fatigue are presented.
Files in this item
Google Scholar:Vega Marcos, Ricardo de la
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Anabalon, Hector
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Tannion, Kyran
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Purto, Helena
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Jara D, Cristian
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