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用于可穿戴智能医疗保健的超坚固、可扩展的纤维状机械传感器。

Ultra-Robust and Extensible Fibrous Mechanical Sensors for Wearable Smart Healthcare.

机构信息

Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China.

MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University, Xi'an, 710072, P. R. China.

出版信息

Adv Mater. 2022 May;34(20):e2107511. doi: 10.1002/adma.202107511. Epub 2022 Apr 11.

Abstract

Fibrous material with high strength and large stretchability is an essential component of high-performance wearable electronic devices. Wearable electronic systems require a material that is strong to ensure durability and stability, and a wide range of strain to expand their applications. However, it is still challenging to manufacture fibrous materials with simultaneously high mechanical strength and the tensile property. Herein, the ultra-robust (≈17.6 MPa) and extensible (≈700%) conducting microfibers are developed and demonstrated their applications in fabricating fibrous mechanical sensors. The mechanical sensor shows high sensitivity in detecting strains that have high strain resolution and a large detection range (from 0.0075% to 400%) simultaneously. Moreover, low frequency vibrations between 0 and 40 Hz are also detected, which covers most tremors that occur in the human body. As a further step, a wearable and smart health-monitoring system has been developed using the fibrous mechanical sensor, which is capable of monitoring health-related physiological signals, including muscle movement, body tremor, wrist pulse, respiration, gesture, and six body postures to predict and diagnose diseases, which will promote the wearable telemedicine technology.

摘要

高强度、大拉伸性的纤维材料是高性能可穿戴电子设备的重要组成部分。可穿戴电子系统需要一种既坚固又能适应各种应变的材料,以确保其耐用性和稳定性。然而,制造同时具有高强度和拉伸性能的纤维材料仍然具有挑战性。在此,研究人员开发出了超坚固(≈17.6 MPa)和可拉伸(≈700%)的导电微纤维,并展示了它们在制造纤维机械传感器方面的应用。该机械传感器在检测应变时具有高灵敏度,同时具有高应变分辨率和大检测范围(从 0.0075%到 400%)。此外,它还可以检测 0 到 40 Hz 之间的低频振动,涵盖了人体中大多数震颤。更进一步,研究人员使用纤维机械传感器开发了一种可穿戴和智能健康监测系统,该系统能够监测与健康相关的生理信号,包括肌肉运动、身体震颤、手腕脉搏、呼吸、手势和六种身体姿势,以预测和诊断疾病,这将推动可穿戴远程医疗技术的发展。

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