A Multi-channel EMG-Driven FES Solution for Stroke Rehabilitation

被引：11

作者：

Zhou, Yu ^{[1
]}

Fang, Yinfeng ^{[2
]}

Zeng, Jia ^{[1
]}

Li, Kairu ^{[2
]}

Liu, Honghai ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai, Peoples R China

[2] Univ Portsmouth, Sch Creat Technol, Grp Intelligent Syst & Biomed Robot, Portsmouth, Hants, England

来源：

INTELLIGENT ROBOTICS AND APPLICATIONS (ICIRA 2018), PT I | 2018年 / 10984卷

基金：

中国国家自然科学基金;

关键词：

Functional electrical stimulation (FES); Surface electromyography (sEMG); Integration system; Stroke rehabilitation; ELECTRICAL-STIMULATION;

D O I：

10.1007/978-3-319-97586-3_21

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Functional electrical stimulation (FES) has been applied to stroke rehabilitation for many years. However, users are usually involved in open-loop fixed cycle FES systems in clinical, which is easy to cause muscle fatigue and reduce rehabilitation efficacy. This paper proposes a multi-surface EMG-driven FES integration solution for enhancing upper-limb stroke rehabilitation. This wireless portable system consists of sEMG data acquisition module and FES module, the former is used to capture sEMG signals, the latter of multi-channel FES output can be driven by the sEMG. Preliminary experiments proved that the system has outperformed existing similar systems and that sEMG can be effectively employed to achieve different FES intensity, demonstrating the potential for active stroke rehabilitation.

引用

页码：235 / 243

页数：9