Design and analysis of a novel wireless resistive analog passive sensor technique
Design and analysis of a novel wireless resistive analog passive sensor technique
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DOI：
10.1049/iet-wss.2017.0064
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发表时间：
2018-04-01
影响因子：
1.9
通讯作者：
Morshed, Bashir I.
中科院分区：
文献类型：
--
作者：
Consul-Pacareu, Sergi;Morshed, Bashir I.
在自然环境中对生理信号进行不显眼的监测对于精确诊断非常重要。全无源无线穿戴式传感器是可行的，并且有望用于不引人注目的监测。在这项研究中，作者提出了一类新的全无源传感器，即无线电阻模拟无源（WRAP）传感器。它在传感器上使用电阻式换能器，在低功率（-20至0 dBm）下将物理刺激转换为13.56 MHz载波无线信号的负载调制。该传感器仅由一个环形天线、一个调谐电容器和一个适合于要测量的生理信号类型的电阻式传感器组成。作者报告了WRAP传感器在TX和RX天线之间不同同轴距离（5-40 mm）下的各种电阻负载（1.2 ω至82 k ω）的特性。他们制作了多个WRAP传感器的原型，并对其进行了表征，这些传感器可以测量心率、温度和脉搏血氧饱和度等生理信号。他们还演示了使用金属氧化物半导体场效应晶体管作为换能器的生物电位测量（低至400 μ V-pp）。这些结果表明，开发一种新型全身穿戴式全被动WRAP传感器的可行性，可以在现实环境中对许多疾病进行不显眼的生理信号监测，并跟踪以人为中心的治疗效果。
Unobtrusive monitoring of physiological signals in natural settings is important for precision diagnostics. Fully-passive wireless body-worn sensors are viable and promising for unobtrusive monitoring. In this study, the authors present a new class of fully-passive sensor, namely wireless resistive analog passive (WRAP) sensor. It uses resistive transducers at the sensors for converting physical stimulus to load modulation of carrier wireless signal at 13.56 MHz at low power (-20 to 0 dBm). The sensor is simply composed of a loop antenna, a tuning capacitor, and a resistive transducer suitable for the type of physiological signals to be measured. The authors report the characterisation of WRAP sensors for various resistive loads of 1.2 omega to 82 k omega at various co-axial distances (5-40 mm) between the TX and RX antennas. They have prototyped and characterised multiple WRAP sensors with several practical measurements of physiological signals such as heart rate, temperature, and pulse oximetry. They also demonstrate bio-potential measurement (down to 400 mu V-pp) using metal-oxide-semiconductor field-effect transistor as the transducer. These results show the feasibility of developing a new type of body-worn fully-passive WRAP sensors for unobtrusive physiological signal monitoring at real-life settings for precision diagnostics of many disorders and tracking person-centric therapy efficacy.