穿戴机械式手部康复机器人设计与实现  

Design and Implementation of a Wearable Mechanical Hand Rehabilitation Robot

作　　者：唐佳阳 何乐山 江雯迪 马钰超 连岩鹏 邱忠才[1] TANG Jiayang;HE Leshan;JIANG Wendi;MA Yuchao;LIAN Yanpeng;QIU Zhongcai(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756,China)

机构地区：[1]西南交通大学电气工程学院,四川成都611756

出　　处：《电工技术》2025年第3期177-179,共3页Electric Engineering

摘　　要：脑卒中在我国老年群体中发病率极高,手部痉挛是其常见的后遗症。为改善脑卒中患者的手部机能,常使用人力或特定设备带动患肢弯曲的复健方式。常见的家用康复仪器存在结构简陋、精度较低、噪声大等问题,为改进此类问题,设计并制作了机械式手部康复机器人。通过手指映射、肌电感应(EMG)等方式采集控制信号,通过机械结构带动患肢运动,实现康复训练。通过实验验证了该产品能够在满足训练功能的基础上解决已有产品的痛点。Stroke has a very high incidence in the elderly population in China,and hand spasticity is one of the most common sequelae after stroke.In order to improve the recovery of hand function of patients,the rehabilitation of patients′finger flexion driven by human power or specific equipment is a very common measure.The common home rehabilitation instruments still have problems such as rudimentary training structure,low precision,and high noise,in order to improve this problem,we designed and fabricated a mechanical hand rehabilitation robot.It can collect relevant control signals through finger mapping,electromyography(EMG),etc.,and drive the movement of the affected limb through the linkage of mechanical structure,which can realize the rehabilitation training for patients.Through experimental verification,this product can solve the pain points of existing products on the basis of satisfying the training function.

关 键 词：手指康复 肌电传感器 Arduino开发 脑卒中后遗症 

分 类 号：TP241.3[自动化与计算机技术—检测技术与自动化装置]