Clinical diagnosis and early intervention employ pedobarometry,which analyzes gait,posture,and foot health.Athletes utilize smart insoles to track step count,distance,and other parameters to improve performance.Curren...Clinical diagnosis and early intervention employ pedobarometry,which analyzes gait,posture,and foot health.Athletes utilize smart insoles to track step count,distance,and other parameters to improve performance.Current sensor platforms are bulky and limited to indoor or clinical environments,despite the trend of developing specialized insoles for recuperation and therapy.Hence,we presented a fully flexible,typically portable,and multi-functional insole monitoring technology powered by Archimedean algorithmic spiral TENG-based power system strictly produced from biopolymers such as bacterial cellulose,conjugate-blend of polydimethylsiloxane(PDMS),poly(3,4-ethylenedioxythiophene):polystyrene sulfonate(PEDOT:PSS),and more.Along with exceptional mechanical and electrical performance[current density(JSC)≈40-50μA/cm2 and power density(PD)≈500-600μW/cm2],the smart insole system exhibited good sensor-human foot interfacial analysis results,proving to be capable of biomechanical analysis of gait,posture,and many other podiatry-related conditions,albeit being soft,portable,and having compatibility potential for IoT integration.展开更多
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the support received from the National Natural Science Foundation of China(52003191)Young Elite Scientists Sponsorship Program by CAST(2022QNRC001)+3 种基金the Natural Science Foundation of Jiangsu Province(BK20221539)Science and Technology Program of Jiangsu Administration for Market Regulation(KJ2024013)National Key R&D Program(2023YFC3605800)the Program of Introducing Talents of Jiangnan University(1065219032210150).
文摘Clinical diagnosis and early intervention employ pedobarometry,which analyzes gait,posture,and foot health.Athletes utilize smart insoles to track step count,distance,and other parameters to improve performance.Current sensor platforms are bulky and limited to indoor or clinical environments,despite the trend of developing specialized insoles for recuperation and therapy.Hence,we presented a fully flexible,typically portable,and multi-functional insole monitoring technology powered by Archimedean algorithmic spiral TENG-based power system strictly produced from biopolymers such as bacterial cellulose,conjugate-blend of polydimethylsiloxane(PDMS),poly(3,4-ethylenedioxythiophene):polystyrene sulfonate(PEDOT:PSS),and more.Along with exceptional mechanical and electrical performance[current density(JSC)≈40-50μA/cm2 and power density(PD)≈500-600μW/cm2],the smart insole system exhibited good sensor-human foot interfacial analysis results,proving to be capable of biomechanical analysis of gait,posture,and many other podiatry-related conditions,albeit being soft,portable,and having compatibility potential for IoT integration.
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.
