Passive RFID Tag for Respiratory Frequency Monitoring

Araujo, Jessyca Iasmyn Lucena; Morais, Samuel Medeiros Araujo; Serres, Georgina Karla de Freitas; Albuquerque, Camila Caroline Rodrigues de; Serres, Alexandre; Santos, Danilo F. S.; Carvalho, Joabson Nogueira de

doi:10.1109/inscit.2018.8546721

Cited by 7 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A first category of devices relies on direct measurement of the human breath through RFID temperature or moisture [194]. (b) RSSI-based respiratory monitoring system with passive RFID tags [198]. (c) Motion inertial based cough monitoring RFID sensor [110].…”

Section: B Respiratory Function and Coughmentioning

confidence: 99%

“…An indirect breath monitoring avoiding sensors on the face, can be instead based on the measurement of the torso expansion and contraction by placing regular RFID tags on the abdomen, or even on the bed [203], for overnight monitoring. Breath identification is based on the measurements of the variations of RSSI [194], [198], [199] and phase [190], [193], [200]. Sleep respiration rate and sleep apnea can be detected through a fixed reader antenna at the bedside, and RFID tags can be attached [194] (Fig.…”

Section: B Respiratory Function and Coughmentioning

confidence: 99%

“…17.f). Moreover, by placing the RFID tag on the abdomen, the respiratory rate in a medical examination-like situation [198] (Fig. 17.b) can be evaluated too.…”

Section: B Respiratory Function and Coughmentioning

confidence: 99%

“…(a) Sleep respiration monitoring system with passive COTS RFID tags[194]. (b) RSSI-based respiratory monitoring system with passive RFID tags[198]. (c) Motion inertial based cough monitoring RFID sensor[110].…”

mentioning

confidence: 99%

See 3 more Smart Citations

A Survey on Radio Frequency Identification as a Scalable Technology to Face Pandemics

Bianco,

Occhiuzzi,

Panunzio

et al. 2021

Preprint

View full text Add to dashboard Cite

The COVID-19 pandemic forced mankind to unprecedented global challenges, drastically changing our way of living. To minimize life losses, multi-level strategies requiring collective efforts were adopted, while waiting for researchers and Pharma companies to develop vaccines. The management of so complex processes has partly taken benefit from a network vision and from the rising framework of the Internet of Things (IoT). Among the several technologies converging to IoT, the Radiofrequency Identification (RFID), based on backscattering communication, is probably the approach that is most suitable to both the micro (the user) and the macro (the processes) scale. Accordingly, a single infrastructure can support almost all the logistic and monitoring issues related to the war against a pandemic. Based on the earned COVID-19 experience, this paper is a guide about how state-of-the-art RFID systems can be employed in facing future pandemic outbreaks. The three pillars of the contrast are addressed, namely: 1) use and managing of Personal Protective Equipment (PPE), 2) access control and social distancing, and 3) early detection of symptoms. For each class, the envisaged RFID devices and procedures are identified and discussed based on the already available technology and on the state of the art of worldwide research. The presented guide tells us that this technology has a real potentiality to play a key role in generating an extraordinary amount of data, so that complementary paradigms of Edge Computing and Artificial intelligence should be tightly integrated to extract profiles and identify anomalous events, in compliance with privacy and security.

show abstract

Section: B Respiratory Function and Coughmentioning

confidence: 99%

Section: B Respiratory Function and Coughmentioning

confidence: 99%

“…17.f). Moreover, by placing the RFID tag on the abdomen, the respiratory rate in a medical examination-like situation [198] (Fig. 17.b) can be evaluated too.…”

Section: B Respiratory Function and Coughmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations