| Autor: |
Marco Laurino, Lucia Arcarisi, Francesca Brutti, Francesca Giannetti, Carlotta Marinai, Pasquale Bufano, Nicola Carbonaro, Danilo Menicucci, Chiara Benvenuti, Alessandro Tognetti |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022 |
| ISSN: |
2694-0604 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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