物理医学与康复
计算机科学
康复
物理疗法
可扩展性
肱二头肌
生物医学工程
医学
信号(编程语言)
材料科学
数据库
程序设计语言
作者
Jing Xu,Trinny Tat,Junyi Yin,Diantha Ngo,Xun Zhao,Wen‐Jing Xiao,Ziyuan Che,Kangrui Chen,Lauren Harris,Jun Chen
出处
期刊:Matter
[Elsevier]
日期:2023-07-01
卷期号:6 (7): 2235-2247
被引量:22
标识
DOI:10.1016/j.matt.2023.06.008
摘要
Summary
To prevent excessive and deficient movements during at-home muscle physiotherapy, we introduce a textile magnetoelastic patch for personalized muscle activity monitoring. It can quantitatively monitor muscle rehabilitation progress and provide guidance on extremity movements. The patch utilizes the magnetoelastic effect and magnetic induction to continuously convert muscle biomechanical activities into analyzable electrical signals. It demonstrates a decent stretchability of 350%, a skin-matched Young's modulus of 80 kPa, a pressure sensitivity of 2.78 μA kPa−1, a response time of 0.12 s, a signal-to-noise ratio (SNR) of 29 dB, and long-term service stability of over 100,000 cycles, while also being intrinsically waterproof, highly stretchable, and mechanically durable. Additionally, the patch can be massively produced using the machine sewing technique, showing decent scalability. When attached to the biceps, it could differentiate electrical signals from arm movements and display quantitative results on user interfaces, allowing users to understand and adjust their exercise levels effectively.
科研通智能强力驱动
Strongly Powered by AbleSci AI