基于RFID无源标签天线阵列的肩部康复无线运动捕捉系统

Chaodong Jiang, C. I. Wong, Chi‐Hou Chio, K. Tam, Wai‐Wa Choi, Cheng Teng, P. Lau
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引用次数: 1

摘要

本文提出了一种基于920 MHz超高频(UHF)射频识别(RFID)的分级运动范围(ROM) Arc肩部康复装置的家庭无线运动捕捉监测系统,实现0度到180度的自助康复。该设备适用于新兴的5G远程医疗,无需人工监控。使用11个无源超高频RFID标签阵列,每个标签都被标记并沿弧线表示15度角。标签的接收信号强度指标(RSSI)变化来自标签的后向散射响应,用于确定患者肩部运动的程度。一个带有用户界面的实验原型是基于传统ROM构建的,其中患者的肩部运动可以被治疗师自动捕获以供进一步分析。从实验中,我们确定了患者肩部运动映射的程度平均为35db, RSSI变化从-80 dBm(全手接触)到-45 dBm(无手接触)的平均值。
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A Wireless Motion Capture System for Shoulder Rehabilitation based on RFID Passive Tag Antenna Array
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.
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