材料科学
生物医学工程
计算机科学
人工肌肉
执行机构
人工智能
医学
作者
Chan Wang,Xuecheng Qu,Qiang Zheng,Ying Liu,Puchuan Tan,Bojing Shi,Han Ouyang,Shengyu Chao,Yang Zou,Chaochao Zhao,Zhuo Liu,Yusheng Li,Zhou Li
出处
期刊:ACS Nano
[American Chemical Society]
日期:2021-06-04
卷期号:15 (6): 10130-10140
被引量:87
标识
DOI:10.1021/acsnano.1c02010
摘要
Assessment of muscle function is an essential indicator for estimating elderly health, evaluating motor function, and instructing rehabilitation training, which also sets urgent requirements for mechanical sensors with superior quantification, accuracy, and reliability. To overcome the rigidity and vulnerability of traditional metallic electrodes, we synthesize an ionic hydrogel with large deformation tolerance and fast self-healing ability. And we propose a stretchable, self-healing, and skin-mounted (Triple S) active sensor (TSAS) based on the principles of electrostatic induction and electrostatic coupling. The skin modulus-matched TSAS provides outstanding sensing properties: maximum output voltage of 78.44 V, minimal detection limit of 0.2 mN, fast response time of 1.03 ms, high signal-to-noise ratio and excellent long-term service stability. In training of arm muscle, the functional signals of biceps and triceps brachii muscles as well as the joint dexterity of bending angle can be acquired simultaneously through TSAS. The signal can also be sent wirelessly to a terminal for analysis. With the characteristics of high sensitivity, reliability, convenience, and low-cost, TSAS shows its potential to be the next-generation procedure for real-time assessment of muscle function and rehabilitation training.
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