Self-powered high-resolution smart insole system for plantar pressure mapping  

作　　者：Qiuqun Zheng Xingyi Dai Yinghui Wu Qihua Liang Yongpeng Wu Jingkun Yang Biqin Dong Guojun Gao Qi Qin Long-Biao Huang 

机构地区：[1]Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province,College of Physics and Optoelectronic Engineering,Shenzhen University,Shenzhen,China [2]College of Civil and Transportation Engineering,Shenzhen University,Shenzhen,China [3]Institute of Microstructure Technology,Karlsruhe Institute of Technology,Karlsruhe,Germany

出　　处：《BMEMat(BioMedical Engineering Materials)》2023年第1期80-90,共11页生物医学工程材料（英文）

基　　金：Startup Funding from Local Government,Grant/Award Number:827/000544;National Natural Science Foundation of China,Grant/Award Number:51973119;Program of the China Postdoctoral Science Foundation,Grant/Award Number:2022M712160;Program of the National Natural Science Foundation of China,Grant/Award Number:52150009;Open Project of Key Lab of Special Functional Materials of Ministry of Education,Henan University,Grant/Award Number:KFKT-2022-10;High-Level University Construction Fund,Grant/Award Number:860-000002081205;Natural Science Foundation of Guangdong Province,Grant/Award Number:2019A1515011566。

摘　　要：Accurate plantar pressure mapping systems with low dependence on the external power supply are highly desired for preventative healthcare and medical diagnosis.Herein,we propose a self-powered smart insole system that can perform both static and dynamic plantar pressure mapping with high accuracy.The smart insole system integrates an insole-shaped sensing unit,a multi-channel data acquisition board,and a data storage module.The smart insole consists of a 44-pixel sensor array based on triboelectric nanogenerators(TENGs)to transduce pressure to the electrical signal.By optimizing the sensor architecture and the system's robustness,the smart insole achieves high sensitivity,good error-tolerance capability,excellent durability,and short response–recovery time.Various gait and mobility patterns,such as standing,introversion/extraversion,throwing,and surpassing obstacles,can be distin-guished by analyzing the acquired electrical signals.This work paves the way for self-powered wearable devices for gait monitoring,which might enable a new modality of medical diagnosis.

关 键 词：HIGH-RESOLUTION pressure mapping self-powered sensors smart insoles wearable devices 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]