Wireless Wearable Devices and Recent Applications in Health Monitoring and Clinical Diagnosis

Su, Mengrui; Hua, Jiangbo; Sun, Xidi; Liu, Zhao; Shi, Yi; Pan, Lijia

doi:10.1007/s44174-023-00141-5

Cited by 2 publications

(2 citation statements)

References 171 publications

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“…In order to further obtain the working performance of the entire SAW device, we first need to use the P matrix to cascade the interdigital transducers. Assuming that the incident surface acoustic wave amplitudes of the left and right acoustic ends of the IDT are a 1 and a 2 , respectively, the amplitudes generated by the IDT are b 1 and b 2 , the voltage loaded on the IDT electrical end is V, and the current is I, the acoustic and electrical characteristics of the IDT can be described by (8):…”

Section: Saw Device Performance Calculation Using Com Modelmentioning

confidence: 99%

“…A traditional active wireless sensing system can achieve temperature monitoring. However, such a method has a great demand for batteries at the sensing end, as all the components including sensors and the wireless transmission module consume a large amount of energy [8]. For example, Alam et al proposed a wearable multi-point body temperature and sweat analysis device.…”

Section: Introductionmentioning

confidence: 99%

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Rational Design of a Surface Acoustic Wave Device for Wearable Body Temperature Monitoring

Xie,

Deng,

Chen

et al. 2024

Micromachines

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Continuous monitoring of vital signs based on advanced sensing technologies has attracted extensive attention due to the ravages of COVID-19. A maintenance-free and low-cost passive wireless sensing system based on surface acoustic wave (SAW) device can be used to continuously monitor temperature. However, the current SAW-based passive sensing system is mostly designed at a low frequency around 433 MHz, which leads to the relatively large size of SAW devices and antenna, hindering their application in wearable devices. In this paper, SAW devices with a resonant frequency distributed in the 870 MHz to 960 MHz range are rationally designed and fabricated. Based on the finite-element method (FEM) and coupling-of-modes (COM) model, the device parameters, including interdigital transducer (IDT) pairs, aperture size, and reflector pairs, are systematically optimized, and the theoretical and experimental results show high consistency. Finally, SAW temperature sensors with a quality factor greater than 2200 are obtained for real-time temperature monitoring ranging from 20 to 50 °C. Benefitting from the higher operating frequency, the size of the sensing system can be reduced for human body temperature monitoring, showing its potential to be used as a wearable monitoring device in the future.

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Section: Saw Device Performance Calculation Using Com Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%