继电器
计算机科学
稳健性(进化)
电气工程
无线
可穿戴计算机
无线传感器网络
无芯片射频识别
感应耦合
电磁线圈
电子工程
无线电频率
微控制器
传感器节点
信号(编程语言)
无线电源传输
联轴节(管道)
蓝牙
声学
物联网
谐振器
功率(物理)
干扰(通信)
带宽(计算)
脉搏(音乐)
作者
Guan-Lin Su,En-Zhu Lyu,Ting-Wei Wang
标识
DOI:10.1109/jiot.2025.3647891
摘要
Smart clothing has emerged as a promising IoT-based healthcare platform by enabling distributed physiological sensing through body sensor networks (BSN). However, most systems rely on embedded chips and batteries, increasing complexity, weight, and cost that limit practicality. We present a battery-free chipless smart clothing that integrates thermoplastic polyurethane (TPU)-encapsulated passive LC relay networks to establish magnetic coupling between an external sensor reader and underlying arteries. Arterial pulsations induce resonant frequency shifts in the coupled system, enabling real-time pulse signal detection. Each sensing coil of passive LC relay networks is positioned at carotid, heart, radial, and femoral arteries, and four pickup coils are routed to a centralized hub on the upper left arm. A lightweight wireless reader with four channels simultaneously acquires multi-site physiological signals. Importantly, passive LC relay networks serve as magnetic field repeaters, enhancing magnetic coupling across extended distances. By matching resonant frequencies of passive LC relay networks and sensor reader at 7.3 MHz, the system achieved a power transfer efficiency (PTE) of 46.56 %, clearly outperforming the capacitor-free configuration, which yielded only 6 %. Notably, a minimum PTE threshold of 0.24 % was established for distinguishable pulse detection. The system showed robustness after water-spray exposure and supported signal acquisition through outer garments up to 21.22 mm thick between sensor reader and centralized hub, confirming resilience to sweat and compatibility with layered clothing. Overall, our battery-free chipless BSN offers lightweight, low-cost, and disposable smart clothing solutions for simultaneous multi-site hemodynamic monitoring, potentially calculating pulse wave velocity for peripheral vascular stiffness assessment.
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