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On the Use of Radio Frequency Identification for Continuous Biomedical Monitoring
Conference proceeding   Open access

On the Use of Radio Frequency Identification for Continuous Biomedical Monitoring

William Mongan, Ilhaan Rasheed, Khyati Ved, Shrenik Vora, Kapil Dandekar, Genevieve Dion, Timothy Kurzweg and Adam Fontecchio
Proceedings of the Second International Conference on internet-of-things design and implementation, pp 197-202
18 Apr 2017
DOI: https://doi.org/10.1145/3054977.3055002
url
https://doi.org/10.1145/3054977.3055002View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze),  Open

Abstract

Signal processing Software architecture IoT sensor processing framework
Radio Frequency Identification (RFID) technology is often deployed for inventory management scenarios. In inventory applications, a known or unknown number of RFID tags are queried in a discrete manner and for a single, short period of time, until each tag is recognized by the interrogator device. Passive RFID provides several benefits conducive to ubiquitous deployment, including RFID tags that are energized from the wireless RF interrogation signal itself that obviates the need for a battery or wired power, and antenna assemblies that can be integrated with the chip with only a small footprint. We have utilized these benefits to enable continuous biomedical sensing devices with minimal footprint and batteryless deployment. These devices are fabric-based smart garments with an embedded RFID tag and antenna assembly. However, traditional inventory-based RFID interrogation presents several challenges due to the RFID protocols and regulations that govern their use. In this paper, we discuss the considerations necessary to utilize RFID interrogation to enabling passive, continuous sensor monitoring, and the techniques we employed in developing software to do so.

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10 citations in Scopus

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