Wei Yan, Haonan Zhang, Xinxin Cai, Chenbin Ma, Dongmin Ma, Hongbo Lu, Guanglei Zhang and Weixing Song
{"title":"用于肢体运动识别的高灵敏度多通道可穿戴光纤传感器","authors":"Wei Yan, Haonan Zhang, Xinxin Cai, Chenbin Ma, Dongmin Ma, Hongbo Lu, Guanglei Zhang and Weixing Song","doi":"10.1039/D4TA08135H","DOIUrl":null,"url":null,"abstract":"<p >A versatile multi-channel wearable flexible fiber sensing system is designed for detecting limb motion and recognizing gait patterns. Superelastic porous polyurethane (PU) fibers, featuring controllable morphology and function, were crafted using a coaxial co-injection capillary microfluidic device. These PU fibers can be stretched up to 600% elongation while maintaining stable performance. The simple and controllable fabrication of fiber sensors <em>via</em> microfluidic methods, although rarely reported, ensures uniform dispersion of nanostructures, such as polydopamine nano structural particles (PDA NSPs), within the flexible fibers. The incorporation of PDA NSPs enhances the conductivity and sensitivity of the PU fibers, tailored for detecting limb motion and recognizing gait patterns. An advanced wearable intelligent health monitoring system featuring multi-channel detection was engineered using flexible fiber sensors, capable of detecting a range of limb movements, including finger, wrist, elbow, and knee bending, and accurately identifying gait patterns in under 1 second response time. The findings of this research exhibit promising avenues for development and application in areas such as neuromuscular disorders, movement disorders, and assisted rehabilitation training.</p>","PeriodicalId":82,"journal":{"name":"Journal of Materials Chemistry A","volume":" 6","pages":" 4503-4512"},"PeriodicalIF":9.5000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-channel wearable fiber sensors with high sensitivity for limb motion recognition†\",\"authors\":\"Wei Yan, Haonan Zhang, Xinxin Cai, Chenbin Ma, Dongmin Ma, Hongbo Lu, Guanglei Zhang and Weixing Song\",\"doi\":\"10.1039/D4TA08135H\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >A versatile multi-channel wearable flexible fiber sensing system is designed for detecting limb motion and recognizing gait patterns. Superelastic porous polyurethane (PU) fibers, featuring controllable morphology and function, were crafted using a coaxial co-injection capillary microfluidic device. These PU fibers can be stretched up to 600% elongation while maintaining stable performance. The simple and controllable fabrication of fiber sensors <em>via</em> microfluidic methods, although rarely reported, ensures uniform dispersion of nanostructures, such as polydopamine nano structural particles (PDA NSPs), within the flexible fibers. The incorporation of PDA NSPs enhances the conductivity and sensitivity of the PU fibers, tailored for detecting limb motion and recognizing gait patterns. An advanced wearable intelligent health monitoring system featuring multi-channel detection was engineered using flexible fiber sensors, capable of detecting a range of limb movements, including finger, wrist, elbow, and knee bending, and accurately identifying gait patterns in under 1 second response time. The findings of this research exhibit promising avenues for development and application in areas such as neuromuscular disorders, movement disorders, and assisted rehabilitation training.</p>\",\"PeriodicalId\":82,\"journal\":{\"name\":\"Journal of Materials Chemistry A\",\"volume\":\" 6\",\"pages\":\" 4503-4512\"},\"PeriodicalIF\":9.5000,\"publicationDate\":\"2025-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Materials Chemistry A\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2025/ta/d4ta08135h\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Materials Chemistry A","FirstCategoryId":"88","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2025/ta/d4ta08135h","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Multi-channel wearable fiber sensors with high sensitivity for limb motion recognition†
A versatile multi-channel wearable flexible fiber sensing system is designed for detecting limb motion and recognizing gait patterns. Superelastic porous polyurethane (PU) fibers, featuring controllable morphology and function, were crafted using a coaxial co-injection capillary microfluidic device. These PU fibers can be stretched up to 600% elongation while maintaining stable performance. The simple and controllable fabrication of fiber sensors via microfluidic methods, although rarely reported, ensures uniform dispersion of nanostructures, such as polydopamine nano structural particles (PDA NSPs), within the flexible fibers. The incorporation of PDA NSPs enhances the conductivity and sensitivity of the PU fibers, tailored for detecting limb motion and recognizing gait patterns. An advanced wearable intelligent health monitoring system featuring multi-channel detection was engineered using flexible fiber sensors, capable of detecting a range of limb movements, including finger, wrist, elbow, and knee bending, and accurately identifying gait patterns in under 1 second response time. The findings of this research exhibit promising avenues for development and application in areas such as neuromuscular disorders, movement disorders, and assisted rehabilitation training.
期刊介绍:
The Journal of Materials Chemistry A, B & C covers a wide range of high-quality studies in the field of materials chemistry, with each section focusing on specific applications of the materials studied. Journal of Materials Chemistry A emphasizes applications in energy and sustainability, including topics such as artificial photosynthesis, batteries, and fuel cells. Journal of Materials Chemistry B focuses on applications in biology and medicine, while Journal of Materials Chemistry C covers applications in optical, magnetic, and electronic devices. Example topic areas within the scope of Journal of Materials Chemistry A include catalysis, green/sustainable materials, sensors, and water treatment, among others.