足底压力
可靠性(半导体)
步态
材料科学
灵敏度(控制系统)
步态分析
压力传感器
生物医学工程
物理医学与康复
医学
机械工程
工程类
物理
电子工程
功率(物理)
量子力学
作者
Wendong Li,Kangkang Zou,Junwei Guo,Cancan Zhang,Jiabao Feng,Jia You,Gang Cheng,Qinghua Zhou,Miqiu Kong,Guangxian Li,Chuan Fei Guo,Junlong Yang
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-05-17
卷期号:18 (22): 14672-14684
被引量:26
标识
DOI:10.1021/acsnano.4c02919
摘要
Flexible sensing systems (FSSs) designed to measure plantar pressure can deliver instantaneous feedback on human movement and posture. This feedback is crucial not only for preventing and controlling diseases associated with abnormal plantar pressures but also for optimizing athletes' postures to minimize injuries. The development of an optimal plantar pressure sensor hinges on key metrics such as a wide sensing range, high sensitivity, and long-term stability. However, the effectiveness of current flexible sensors is impeded by numerous challenges, including limitations in structural deformability, mechanical incompatibility between multifunctional layers, and instability under complex stress conditions. Addressing these limitations, we have engineered an integrated pressure sensing system with high sensitivity and reliability for human plantar pressure and gait analysis. It features a high-modulus, porous laminated ionic fiber structure with robust self-bonded interfaces, utilizing a unified polyimide material system. This system showcases a high sensitivity (156.6 kPa–1), an extensive sensing range (up to 4000 kPa), and augmented interfacial toughness and durability (over 150,000 cycles). Additionally, our FSS is capable of real-time monitoring of plantar pressure distribution across various sports activities. Leveraging deep learning, the flexible sensing system achieves a high-precision, intelligent recognition of different plantar types with a 99.8% accuracy rate. This approach provides a strategic advancement in the field of flexible pressure sensors, ensuring prolonged stability and accuracy even amidst complex pressure dynamics and providing a feasible solution for long-term gait monitoring and analysis.
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