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用于中风康复的网络功能性电刺激系统的开发。

Development of a network FES system for stroke rehabilitation.

作者信息

Qu Hongen, Wang Ting, Hao Manzhao, Shi Ping, Zhang Weifeng, Wang Guoxing, Lan Ning

机构信息

Research Institute Shanghai Jiao Tong University, Shanghai 200030, China.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:3119-22. doi: 10.1109/IEMBS.2011.6090851.

DOI:10.1109/IEMBS.2011.6090851
PMID:22255000
Abstract

This paper describes a Functional Electrical Stimulation (FES) system based on the distributed network structure for rehabilitation of stroke patients. This FES system performs surface stimulation to activate the nerve of paretic muscles for training stroke patients to relearn motor functions. The main components of the networked FES system include a master unit (MU), a distributed stimulation-sensor unit (DSSU), and a clinical computer. In this system, the MU can drive a set of DSSUs, which is located at the node on the distributed network structure. The MU also stores the stimulation plan of rehabilitation training prescribed by clinicians. The DSSU serves as a single channel stimulator whose current amplitude, duration and frequency can be modulated by the MU. This system has two distinctive characters. First, since a stimulator is designed as a node on the network, the number of stimulation channels could be expanded according to specific needs. Second, a sensor component can be incorporated in the DSSU to allow monitoring physiological variables. The two features of system design make the networked FES system practical and flexible in clinical applications. We have completed a prototype of system including hardware and software. The evaluation test indicates that the system performance meets design specifications.

摘要

本文介绍了一种基于分布式网络结构的功能性电刺激(FES)系统,用于中风患者的康复治疗。该FES系统进行表面刺激,以激活瘫痪肌肉的神经,从而训练中风患者重新学习运动功能。网络化FES系统的主要组件包括一个主单元(MU)、一个分布式刺激-传感器单元(DSSU)和一台临床计算机。在该系统中,MU可以驱动一组位于分布式网络结构节点上的DSSU。MU还存储临床医生制定的康复训练刺激计划。DSSU用作单通道刺激器,其电流幅度、持续时间和频率可由MU调制。该系统有两个显著特点。第一,由于刺激器被设计为网络上的一个节点,刺激通道的数量可以根据具体需求进行扩展。第二,传感器组件可以集成在DSSU中,以监测生理变量。系统设计的这两个特点使网络化FES系统在临床应用中实用且灵活。我们已经完成了一个包括硬件和软件的系统原型。评估测试表明,系统性能符合设计规格。

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