2020
DOI: 10.1109/lsens.2020.3036486
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Experimental Assessment of Wireless Monitoring of Axilla Temperature by Means of Epidermal Battery-Less RFID Sensors

Abstract: Wireless epidermal devices (WEDs), based on UHF radio frequency identification (RFID), enable a contactless and noninvasive human body monitoring through sampling of health parameters directly on the skin. With reference to body temperature, this letter reports an experimental campaign aimed at assessing the degree of agreement of a batteryless plaster-like WED, placed in the armpit region, with a standard axilla thermocouple thermometer. A measurement campaign over 10 volunteers, for overall 120 temperature o… Show more

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Cited by 32 publications
(9 citation statements)
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“…If placed in the armpit region (Fig. 13), they are well correlated with a standard axilla electronic thermometer (Pearson's coefficient p = 0.78) with a difference of less than 0.6 • C in the 95% of measurements [180].…”
Section: A Body Temperaturementioning
confidence: 88%
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“…If placed in the armpit region (Fig. 13), they are well correlated with a standard axilla electronic thermometer (Pearson's coefficient p = 0.78) with a difference of less than 0.6 • C in the 95% of measurements [180].…”
Section: A Body Temperaturementioning
confidence: 88%
“…12.b), [182] (Fig. 12.c), and small [180] (Fig. 13), paying also attention to their reusability to reduce fabrication costs and pollution [187].…”
Section: A Body Temperaturementioning
confidence: 99%
“…In the last years, some research groups (e.g., Gaetano Marroco et al) have developed epidermal temperature sensors based on UHF RFID tags [47][48][49][50]. The accuracy depends on the RFID integrated circuit, which embeds the temperature sensor and the RFID communication.…”
Section: Discussionmentioning
confidence: 99%
“…Passive RFID technology working at ultra-high frequency (UHF) can be used in healthcare infrastructures. Possible applications include tracking of physiological parameters such as patient body temperature [9][10][11][12], blood glucose monitoring [13,14], real-time monitoring, and discrimination of breath anomalies [15], as well as monitoring of blood tubes [16,17] and bags [18][19][20][21][22][23][24] for the management of blood products [25][26][27].…”
Section: Introductionmentioning
confidence: 99%