Abstract
The roles of emergency responders are challenging and often physically demanding, so it is essential that their duties are performed safely and effectively. In this article, we address real-time bio-signal sensor monitoring for responders in disaster scenarios. In particular, we propose the integration of a set of health monitoring sensors suitable for detecting stress, anxiety and physical fatigue in an Internet of Cooperative Agents architecture for search and rescue (SAR) missions (SAR-IoCA), which allows remote control and communication between human and robotic agents and the mission control center. With this purpose, we performed proof-of-concept experiments with a bio-signal sensor suite worn by firefighters in two high-fidelity SAR exercises. Moreover, we conducted a survey, distributed to end-users through the Fire Brigade consortium of the Provincial Council of Málaga, in order to analyze the firefighters’ opinion about biological signals monitoring while on duty. As a result of this methodology, we propose a wearable sensor suite design with the aim of providing some easy-to-wear integrated-sensor garments, which are suitable for emergency worker activity. The article offers discussion of user acceptance, performance results and learned lessons.
Funder
Ministerio de Ciencia, Innovación y Universidades
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference53 articles.
1. Rostow, C.D., and Davis, R.D. (2004). A Handbook for Psychological Fitness-for-Duty Evaluations in Law Enforcement, Routledge. [1st ed.].
2. Review of methods to identify the critical job-tasks undertaken by the emergency services;Nevola;Work,2019
3. A systematic review of suicidal thoughts and behaviors among police officers, firefighters, EMTs, and paramedics;Stanley;Clin. Psychol. Rev.,2016
4. Objective stress monitoring based on wearable sensors in everyday settings;Han;J. Med. Eng. Technol.,2020
5. Rodríguez-Arce, J., Lara-Flores, L., Portillo-Rodríguez, O., and Martínez-Méndez, R. (2020). Towards an anxiety and stress recognition system for academic environments based on physiological features. Comput. Methods Programs Biomed., 190.
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