Ultrasensitive Wearable Pressure Sensors with Stress-Concentrated Tip-Array Design for Long-Term Bimodal Identification.

IF 27.4 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Lingjie Xie, Hao Lei, Yina Liu, Bohan Lu, Xuan Qin, Chengyi Zhu, Haifeng Ji, Zhenqiu Gao, Yifan Wang, Yangyang Lv, Chun Zhao, Ivona Z Mitrovic, Xuhui Sun, Zhen Wen
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引用次数: 0

Abstract

The great challenges for existing wearable pressure sensors are the degradation of sensing performance and weak interfacial adhesion owing to the low mechanical transfer efficiency and interfacial differences at the skin-sensor interface. Here, an ultrasensitive wearable pressure sensor is reported by introducing a stress-concentrated tip-array design and self-adhesive interface for improving the detection limit. A bipyramidal microstructure with various Young's moduli is designed to improve mechanical transfer efficiency from 72.6% to 98.4%. By increasing the difference in modulus, it also mechanically amplifies the sensitivity to 8.5 V kPa-1 with a detection limit of 0.14 Pa. The self-adhesive hydrogel is developed to strengthen the sensor-skin interface, which allows stable signals for long-term and real-time monitoring. It enables generating high signal-to-noise ratios and multifeatures when wirelessly monitoring weak pulse signals and eye muscle movements. Finally, combined with a deep learning bimodal fused network, the accuracy of fatigued driving identification is significantly increased to 95.6%.

采用应力集中尖端阵列设计的超灵敏可穿戴式压力传感器,用于长期双模识别。
现有可穿戴压力传感器面临的巨大挑战是传感性能下降,以及由于皮肤-传感器界面的机械传动效率低和界面差异导致的界面粘附力弱。本文介绍了一种超灵敏可穿戴压力传感器,它采用了应力集中的尖端阵列设计和自粘界面,从而提高了检测极限。设计了具有不同杨氏模量的双金字塔微结构,将机械传递效率从 72.6% 提高到 98.4%。通过增大模量差,还可将灵敏度机械放大至 8.5 V kPa-1,检测极限为 0.14 Pa。开发的自粘性水凝胶可强化传感器与皮肤的界面,从而为长期和实时监测提供稳定的信号。在无线监测微弱的脉搏信号和眼部肌肉运动时,它能产生高信噪比和多特征。最后,结合深度学习双模融合网络,疲劳驾驶识别的准确率大幅提高至 95.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
期刊介绍: Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.
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