基于功能性电刺激技术的脑卒中后手功能康复训练系统设计OA
Design of post-stroke hand function rehabilitation training system based on functional electrical stimulation
目的:针对传统脑卒中后手功能康复训练系统存在运动模式单一、控制系统缺乏实时性和精准性等问题,设计一种基于功能性电刺激(functional electrical stimulation,FES)技术的手功能康复训练系统.方法:手功能康复训练系统的硬件以Arduino UNO R3开发板作为核心控制器,主要由可穿戴设备、被动运动训练模块、电刺激装置组成.其中,可穿戴设备内部配备Flex Sensor弯曲度传感器、MPU6050角度传感器、Flexiforce薄膜压力力敏传感器、SHT30温湿度传感器以及ST021加热片;被动运动训练模块由SG90舵机和连接机构组成;电刺激装置采用三轴独立调节机制,以自适应调控模块为核心,配备2套独立的刺激单元.该系统的软件依托Android Studio平台,采用Java语言开发.基于开源仿真平台(OpenSim)构建手部肌肉骨骼模型,将虚拟康复仿真平台(RCareWorld)的标准康复系统和比例-积分-微分(proportional-integral-derivative,PID)控制外骨骼系统作为对比对象,验证手功能康复训练系统的有效性与可靠性.结果:该系统具有被动运动和自主运动模式,可通过电刺激激活脑卒中后患者的手部肌肉并促进血液循环,还可自动记录单次运动的详细数据并形成训练报告,生成个性化的康复方案.验证结果显示,与RCareWorld的标准康复系统和PID控制外骨骼系统相比,该系统通过动态参数调节有效延缓了患者的疲劳进程,实现了更优的肌力维持和运动表现.结论:该系统具有多模式、精准个性化适配等优势,可为脑卒中后患者的手功能康复提供高效、可行的康复方案.
Objective To design a hand function rehabilitation training system based on functional electrical stimulation(FES)technology to solve the problems of the traditional training system in limited motion patterns and real-time response and precision of the control system.Methods The hand function rehabilitation training system used an Arduino UNO R3 demo board as the core controller,and consisted of a wearable device,a passive motion training module and an electrical sti-mulator.The wearable device was equipped with a Flex Sensor bend sensor,a MPU6050 angle sensor,a Flexiforce thin-film pressure sensor,a SHT30 temperature and humidity sensor and a ST021 heating pad;the passive motion training module was composed of a SG90 servo motor and a connecting mechanism;the electrical stimulator based on three-axis independent adjust mechanism had a self-adaptive adjustment module as the core unit and two independent stimulating units.The software of the system was developed with the Android Studio platform and Java language.A hand musculoskeletal model was constructed using the open-source simulation platform(OpenSim),and the system designed was compared with the standard rehabilitation system of virtual rehabilitation simulation platform(RCareWorld)and proportional-integral-derivative(PID)controlled exoskeleton system so as to validate its effectiveness and reliability.Results The system designed featured passive and autonomous motion patterns,which was capable of activating hand muscles in post-stroke patients through electrical stimulation to enhance blood circulation,recording automatically detailed data for each exercise session to generate training reports and creating individualized rehabilitation schemes.Validation results showed the system designed effectively delayed patient fatigue progression through dynamic parameter adjustment and achieved superior muscle strength maintenance and motion performance when compared with RCareWorld's standard rehabilitation system and PID controlled exoskeleton system.Conclusion The hand rehabilitation training system proposed gains advantages in multi patterns and individualized adaptation,providing an efficient and feasible rehabilitation solution for hand function recovery in post-stroke patients.[Chinese Medical Equipment Journal,2026,47(1):21-27].
雷佳琪;曹瑞娟;梁杨
湖南中医药大学信息科学与工程学院,长沙 410208湖南中医药大学信息科学与工程学院,长沙 410208湖南中医药大学信息科学与工程学院,长沙 410208
医药卫生
FES脑卒中手功能康复智能康复设备可穿戴设备
functional electrical stimulationstrokehand function rehabilitationintelligent rehabilitation devicewearable device
《医疗卫生装备》 2026 (1)
21-27,7
国家自然科学基金面上项目(82474352)国家级大学生创新创业训练计划项目(S202310541136)湖南省普通高等学校教学改革研究项目(HNJG-20230529)长沙市自然科学基金项目(kq2402172)湖南省教育厅优秀青年项目(22B0400)2024年湖南中医药大学教学改革研究项目(校行教评字[2024]6号)
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