摘要
设计并开发了一个Android系统下用于偏瘫患者功能训练(OT)的全印刷柔性传感手套系统,可实现微弱应变信号的捕捉,经控制电路接收传感器信号并通过蓝牙模块近场传输,在移动端接收数据进行同步模型仿真,通过随机森林、支持向量机(SVM)等多特征分类算法识别不同的手势,用于监测人体手部的手指弯曲运动。用于信号捕捉的柔性传感器是由聚甲基丙烯酸甲酯(PMMA)与碳纳米管(CNT)导电复合材料采用丝网印刷在聚酯纤维布料及丁腈橡胶手套等衬底上经过多层套印而成,将低成本、可丢弃的消耗品与可重复使用的硬件设备相结合,形成集成度高的混合电路系统。该系统在手部活动障碍人群的医疗复健监测等方面具有巨大潜力,同时,一次性传感手套具有清洁、卫生并能有效控制交叉感染等特点,为居家护理和监测提供切实可行的解决方案。
A fully printed flexible sensing glove system based on Android system for occupational training(OT)of paralytic was designed and developed.The strain signal from slight movement can be captured by the sensor for receiving by the control circuit and performing near-field transmission to the mobile device by Bluetooth module for synchronous model simulation.Different gestures were recognized by multi-feature classification algorithms such as random forest and support vector machine(SVM)for monitoring of the finger bending movement of human hand.The flexible sensor for signal capture is composed of a conductive composite of polymethyl methacrylate(PMMA)and carbon nanotubes(CNTs),which is screen-printed and overprinted on substrates,such as polyester fabric and nitrile rubber gloves.A highly integrated hybrid circuit system was formed by combining low-cost,disposable consumables with reusable hardware.The system has great potential in the medical rehabilitation monitoring of people with hand movement disorders.Meanwhile,the disposable sensing gloves are clean,hygienic,and can effectively control cross-infection and provide a practical solution for home care and monitoring.
作者
赵帅
徐一博
王海军
张宝兵
南思琪
张欣
张婕
Zhao Shuai;Xu Yibo;Wang Haijun;Zhang Baobing;Nan Siqi;Zhang Xin;Zhang Jie(School of Mechanical Engineering,Jiangnan University,Wuxi 214122,China;School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,China;Institute of Advanced Technologies,Jiangnan University,Wuxi 214122,China)
出处
《微纳电子技术》
CAS
北大核心
2023年第6期876-885,共10页
Micronanoelectronic Technology
基金
江苏省产业前瞻竞争性项目(BE2017069)。
