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Sensorized Facemask With Moisture-Sensitive RFID Antenna.
Bianco, Giulio Maria; Marrocco, Gaetano.
  • Bianco GM; Department of Civil Engineering and Computer Science EngineeringUniversity of Tor Vergata 00133 Roma Italy.
  • Marrocco G; Department of Civil Engineering and Computer Science EngineeringUniversity of Tor Vergata 00133 Roma Italy.
IEEE Sens Lett ; 5(3): 1-4, 2021 Mar.
Artículo en Inglés | MEDLINE | ID: covidwho-2252184
ABSTRACT
Due to the ongoing COVID-19 pandemic, the use of filtering facepiece respirators (FFRs) is increasingly widespread. Since the masks' wetness can reduce its filtering capabilities, the World Health Organization advises to replace the FFRs if they become too damp, but currently, there is no practical way to monitor the masks' wetness. A low-cost moisture sensor placed inside the FFRs could discriminate a slightly damp mask from a wet one, which must be replaced. In this letter, a radio frequency identification (RFID) tag exploiting an auto-tuning microchip for humidity sensing is designed and tested during an ordinary working day and a physical exercise. The tag returns about 1 unit of the digital metric every 3 mg of water generated by breathing and sweating, and it can identify excessively wet masks from commonly used ones.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudios diagnósticos Idioma: Inglés Revista: IEEE Sens Lett Año: 2021 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudios diagnósticos Idioma: Inglés Revista: IEEE Sens Lett Año: 2021 Tipo del documento: Artículo