Biosignals Monitoring of First Responders for Cognitive Load Estimation in Real-Time Operation
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Published:2023-06-21
Issue:13
Volume:13
Page:7368
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ISSN:2076-3417
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Container-title:Applied Sciences
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language:en
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Short-container-title:Applied Sciences
Author:
Gutiérrez Álvaro1ORCID, Blanco Patricia2ORCID, Ruiz Verónica1ORCID, Chatzigeorgiou Christos3, Oregui Xabier4, Álvarez Marta2, Navarro Sara2, Feidakis Michalis3ORCID, Azpiroz Izar4ORCID, Izquierdo Gemma2, Larraga-García Blanca1ORCID, Kasnesis Panagiotis3, Olaizola Igor García4ORCID, Álvarez Federico1ORCID
Affiliation:
1. ETSI Telecomunicación, Universidad Politécnica de Madrid, Av. Complutense 30, 28040 Madrid, Spain 2. SUMMA 112, Servicio de Urgencias Médicas de la Comunidad de Madrid, C/Antracita 2bis, 28045 Madrid, Spain 3. Department of Electrical and Electronics Engineering, University of West Attica, 250 Thivon Ave., 12241 Egaleo, Greece 4. Vicomtech Foundation, Paseo Mikeletegi 57, 20009 Donostia-San Sebastian, Spain
Abstract
During the last decade, new technological tools have emerged to provide first responders with augmented senses in emergency and disaster situations. Some of these tools focus on providing extra information about their surroundings. However, despite augmenting first responders’ capabilities, the quantity and the way that this information is presented can affect their cognitive load. This manuscript presents an integrated framework that allows real-time biosignals monitoring to analyze physical constants and correlate them with subjective cognitive load tests. Biosignals monitoring allows alarms to be raised related to the physical status while cognitive load values will allow modulation of the amount of information that can be assimilated by the first responder in operation. In-lab and practice experimental tests have been conducted to create a fully functional framework. During the technical validation, a strong dispersion of subjective cognitive load by means of NASA-TLX questionnaires has been found between participants. Nonetheless, the developed framework allows extraction of relationships between biosignals and cognitive load, with special attention to the respiration rate and eye movements.
Funder
European Commission
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
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