A sensorized face mask could be a useful tool in the case of a viral pandemic event, as well as the Covid-19 emergency. In the context of the proposed project 'RESPIRE', we have developed a 'Smart-Mask' able to collect the signal patterns of body temperature, respiration, and symptoms such as cough, through a set of textile sensors. The signals have been analyzed by Artificial Intelligence algorithms in order to compare them with gold standard measurements, and to recognize the physiological changes associated with a viral infection. This low-cost prototype of a smart face mask is a reliable tool for the estimation of the individual physiological parameters. Moreover, it enables both personal protection and the early and rapid identification and tracking of potentially infected individuals.

An Innovative Sensorized Face Mask for Early Detection of Physiological Changes Associated with Viral Infection

Laurino Marco;Benvenuti Chiara;
2022

Abstract

A sensorized face mask could be a useful tool in the case of a viral pandemic event, as well as the Covid-19 emergency. In the context of the proposed project 'RESPIRE', we have developed a 'Smart-Mask' able to collect the signal patterns of body temperature, respiration, and symptoms such as cough, through a set of textile sensors. The signals have been analyzed by Artificial Intelligence algorithms in order to compare them with gold standard measurements, and to recognize the physiological changes associated with a viral infection. This low-cost prototype of a smart face mask is a reliable tool for the estimation of the individual physiological parameters. Moreover, it enables both personal protection and the early and rapid identification and tracking of potentially infected individuals.
2022
Istituto di Fisiologia Clinica - IFC
Inglese
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2022-July
933
936
9781728127828
http://www.scopus.com/record/display.url?eid=2-s2.0-85138126923&origin=inward
Sì, ma tipo non specificato
11-15 July 2022
smart sensing
covid
smart mask
artificial intelligence
2
none
Laurino, Marco; Arcarisi, Lucia; Brutti, Francesca; Giannetti, Francesca; Marinai, Carlotta; Bufano, Pasquale; Carbonaro, Nicola; Menicucci, Danilo; B...espandi
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/415079
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