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Journal article
Passive UHF RFID-based Knitted Wearable Compression Sensor
IEEE internet of things journal, pp 1-1
22 Mar 2021
Abstract
One of the major challenges faced by passive onbody wireless Internet of Things (IoT) sensors is the absorption of radiated power by tissues in the human body. We present a battery-less, wearable knitted Ultra High Frequency (UHF, 902-928 MHz) Radio Frequency Identification (RFID) compression sensor (Bellypatch) antenna and show its applicability as an on-body respiratory monitor. The antenna radiation efficiency is satisfactory in both free-space and on-body operations. We extract RF (Radio Frequency) sheet resistance values of three knitted silver-coated nylon fabric candidates at 913 MHz. The best type of fabric is selected based on the extracted RF sheet resistance. Simulated and measured performance of the antenna confirm suitability for on-body applications. The proposed Bellypatch antenna is used to measure the breathing activity of a programmable infant patient emulator mannequin (SimBaby) and a human subject. The antenna is highly sensitive to respiratory compression and relaxation. Fluctuations in the backscatter power level/Received Signal Strength Indicator (RSSI) in both cases range from 6 dB to 15 dB. The improved on-body read range of the proposed sensor antenna is 5.8 m, about 10 times higher than its predecessor wearable knitted strain sensing Bellyband antenna (0.6 m). The maximum simulated Specific Absorption Rate (SAR) on a human torso model is 0.25 W/kg, lower than the maximum allowable limit of 1.6 W/kg.
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Details
- Title
- Passive UHF RFID-based Knitted Wearable Compression Sensor
- Creators
- Md Abu Saleh Tajin - Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104 USA. (e-mail: mt3223@drexel.edu)Chelsea E Amanatides - Center for Functional Fabrics, Drexel University, Philadelphia, PA 19104 USAGenevieve Dion - Center for Functional Fabrics, Drexel University, Philadelphia, PA 19104 USAKapil R Dandekar - Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104 USA
- Publication Details
- IEEE internet of things journal, pp 1-1
- Publisher
- IEEE
- Grant note
- CNS-1816387 / National Science Foundation (10.13039/100000001) R01 EB029364 / National Institutes of Health (10.13039/100000002)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; Fashion Design; Center for Functional Fabrics
- Web of Science ID
- WOS:000688231600052
- Scopus ID
- 2-s2.0-85103258224
- Other Identifier
- 991014970040404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Engineering, Electrical & Electronic
- Telecommunications