Chaodong Jiang, C. I. Wong, Chi‐Hou Chio, K. Tam, Wai‐Wa Choi, Cheng Teng, P. Lau
{"title":"A Wireless Motion Capture System for Shoulder Rehabilitation based on RFID Passive Tag Antenna Array","authors":"Chaodong Jiang, C. I. Wong, Chi‐Hou Chio, K. Tam, Wai‐Wa Choi, Cheng Teng, P. Lau","doi":"10.1109/RFID-TA53372.2021.9617358","DOIUrl":null,"url":null,"abstract":"In this paper, a home-based wireless motion capture monitoring system for graded Range of Motion (ROM) Arc device of shoulder rehabilitation using ultra-high frequency (UHF) radio-frequency identification (RFID) at 920 MHz is proposed to realize self-service rehabilitation from 0 degrees to 180 degrees. This device applies to emerging 5G telemedicine, eliminating the need for manual monitoring. Using an array of 11 passive UHF RFID tag’s, each tag is labeled and represents a 15-degree angle along the arc. The tag’s Received Signal Strength Indicator (RSSI) variations from tag backscattering response are used to determine the degree of the patient’s shoulder motion. An experimental prototype with the user interface is built based on conventional ROM, where the patient’s shoulder motion can be automatically captured for further analysis by a therapist. From the experiment, we determined the degree of the patient’s shoulder motion mapping average 35 dB RSSI variation from -80 dBm (with full hand contact) to -45 dBm (without hand contact) averaged.","PeriodicalId":212607,"journal":{"name":"2021 IEEE International Conference on RFID Technology and Applications (RFID-TA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on RFID Technology and Applications (RFID-TA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFID-TA53372.2021.9617358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a home-based wireless motion capture monitoring system for graded Range of Motion (ROM) Arc device of shoulder rehabilitation using ultra-high frequency (UHF) radio-frequency identification (RFID) at 920 MHz is proposed to realize self-service rehabilitation from 0 degrees to 180 degrees. This device applies to emerging 5G telemedicine, eliminating the need for manual monitoring. Using an array of 11 passive UHF RFID tag’s, each tag is labeled and represents a 15-degree angle along the arc. The tag’s Received Signal Strength Indicator (RSSI) variations from tag backscattering response are used to determine the degree of the patient’s shoulder motion. An experimental prototype with the user interface is built based on conventional ROM, where the patient’s shoulder motion can be automatically captured for further analysis by a therapist. From the experiment, we determined the degree of the patient’s shoulder motion mapping average 35 dB RSSI variation from -80 dBm (with full hand contact) to -45 dBm (without hand contact) averaged.