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...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.展开更多
基金Startup Funding from Local Government,Grant/Award Number:827/000544National Natural Science Foundation of China,Grant/Award Number:51973119+4 种基金Program of the China Postdoctoral Science Foundation,Grant/Award Number:2022M712160Program of the National Natural Science Foundation of China,Grant/Award Number:52150009Open Project of Key Lab of Special Functional Materials of Ministry of Education,Henan University,Grant/Award Number:KFKT-2022-10High-Level University Construction Fund,Grant/Award Number:860-000002081205Natural Science Foundation of Guangdong Province,Grant/Award Number:2019A1515011566。
文摘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.
