Abstract
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 bene?ts 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.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week) |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 197-202 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450349666 |
| DOIs | |
| State | Published - Apr 18 2017 |
| Event | 2nd IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 - Pittsburgh, United States Duration: Apr 18 2017 → Apr 20 2017 |
Publication series
| Name | Proceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week) |
|---|
Other
| Other | 2nd IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 |
|---|---|
| Country | United States |
| City | Pittsburgh |
| Period | 4/18/17 → 4/20/17 |
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All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Control and Systems Engineering
- Computer Networks and Communications
Cite this
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On the use of radio frequency identification for continuous biomedical monitoring. / Mongan, William M.; Rasheed, Ilhaan; Ved, Khyati; Vora, Shrenik; Dandekar, Kapil; Dion, Genevieve; Kurzweg, Timothy; Fontecchio, Adam.
Proceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week). Association for Computing Machinery, Inc, 2017. p. 197-202 (Proceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - On the use of radio frequency identification for continuous biomedical monitoring
AU - Mongan, William M.
AU - Rasheed, Ilhaan
AU - Ved, Khyati
AU - Vora, Shrenik
AU - Dandekar, Kapil
AU - Dion, Genevieve
AU - Kurzweg, Timothy
AU - Fontecchio, Adam
PY - 2017/4/18
Y1 - 2017/4/18
N2 - 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 bene?ts 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.
AB - 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 bene?ts 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.
UR - http://www.scopus.com/inward/record.url?scp=85019033874&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019033874&partnerID=8YFLogxK
U2 - 10.1145/3054977.3055002
DO - 10.1145/3054977.3055002
M3 - Conference contribution
AN - SCOPUS:85019033874
T3 - Proceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week)
SP - 197
EP - 202
BT - Proceedings - 2017 IEEE/ACM 2nd International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (part of CPS Week)
PB - Association for Computing Machinery, Inc
ER -