Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/124083
Author(s): Bustos, D
Joana Guedes
Alvares, M
João Santos Baptista
Vaz, M
Torres Costa, JC
Title: Real time fatigue assessment: Identification and continuous tracing of fatigue using a physiological assessment algorithm
Issue Date: 2019
Abstract: Fatigue decreases performance and physical strength causing incidents and accidents in operational settings. An algorithm has been developed for the management of fatigue, in which assessment of monitored physiological parameters determines different categories of alert alarms with the aim of advising timely interventions and preventing further physical impairments. In this study, the performance of the algorithm was retrospectively evaluated within laboratory trials. Five soldier participants were referred for assessment and, outcomes demonstrated that the algorithm evidenced the different stages of training and the resulting physical demands on subjects by means of their physiological response throughout the exercises. It is concluded that the developed tool, with further adjustments, has the potential to improve fatigue management, allowing early detection of potential physical impairments, reducing the number of medical evaluations and minimizing unnecessary delays in treatment. (c) Springer Nature Switzerland AG 2019.
Subject: Tecnologia da segurança, Ciências médicas e da saúde
Safety technology, Medical and Health sciences
Scientific areas: Ciências médicas e da saúde
Medical and Health sciences
URI: https://hdl.handle.net/10216/124083
Document Type: Capítulo ou Parte de Livro
Rights: restrictedAccess
Appears in Collections:FEUP - Capítulo ou Parte de Livro

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