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

Contributo in Atti di convegno
Data di Pubblicazione:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
smart sensing; covid; smart mask; artificial intelligence
Elenco autori:
Bufano, Pasquale; Benvenuti, Chiara; Laurino, Marco
Autori di Ateneo:
BENVENUTI CHIARA
LAURINO MARCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/415079
Pubblicato in:
IEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS
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http://www.scopus.com/record/display.url?eid=2-s2.0-85138126923&origin=inward
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