Alfred Mensah, Shiqin Liao, Jeremiah Amesimeku, Jie Li, Yajun Chen, Yi Hao, Jixing Yang, Qingqing Wang, Fenglin Huang, Yun Liu, Qufu Wei, Pengfei Lv
{"title":"基于阿基米德算法螺旋三电纳米发电机动力系统和传感器的治疗性智能鞋垫技术","authors":"Alfred Mensah, Shiqin Liao, Jeremiah Amesimeku, Jie Li, Yajun Chen, Yi Hao, Jixing Yang, Qingqing Wang, Fenglin Huang, Yun Liu, Qufu Wei, Pengfei Lv","doi":"10.1007/s42765-024-00443-3","DOIUrl":null,"url":null,"abstract":"<p>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 (<i>J</i><sub>SC</sub>) ≈ 40–50 μA/cm<sup>2</sup> and power density (<i>P</i><sub>D</sub>) ≈ 500–600 μW/cm<sup>2</sup>], 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.</p><h3 data-test=\"abstract-sub-heading\">Graphical Abstract</h3>\n","PeriodicalId":459,"journal":{"name":"Advanced Fiber Materials","volume":"11 1","pages":""},"PeriodicalIF":17.2000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Therapeutic Smart Insole Technology with Archimedean Algorithmic Spiral Triboelectric Nanogenerator-Based Power System and Sensors\",\"authors\":\"Alfred Mensah, Shiqin Liao, Jeremiah Amesimeku, Jie Li, Yajun Chen, Yi Hao, Jixing Yang, Qingqing Wang, Fenglin Huang, Yun Liu, Qufu Wei, Pengfei Lv\",\"doi\":\"10.1007/s42765-024-00443-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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 (<i>J</i><sub>SC</sub>) ≈ 40–50 μA/cm<sup>2</sup> and power density (<i>P</i><sub>D</sub>) ≈ 500–600 μW/cm<sup>2</sup>], 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.</p><h3 data-test=\\\"abstract-sub-heading\\\">Graphical Abstract</h3>\\n\",\"PeriodicalId\":459,\"journal\":{\"name\":\"Advanced Fiber Materials\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":17.2000,\"publicationDate\":\"2024-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Fiber Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1007/s42765-024-00443-3\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Fiber Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1007/s42765-024-00443-3","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Therapeutic Smart Insole Technology with Archimedean Algorithmic Spiral Triboelectric Nanogenerator-Based Power System and Sensors
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) ≈ 40–50 μA/cm2 and power density (PD) ≈ 500–600 μW/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.
期刊介绍：
Advanced Fiber Materials is a hybrid, peer-reviewed, international and interdisciplinary research journal which aims to publish the most important papers in fibers and fiber-related devices as well as their applications.Indexed by SCIE, EI, Scopus et al.
Publishing on fiber or fiber-related materials, technology, engineering and application.
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