Development of a FES System for Hemiplegic Rehabilitation Based on Patient Healthy Limb's EMG Signal

Lihong Duan, Changjun Li, Zhuohua Lin, Quanquan Liu, Wanfeng Shang, Qing Shi, Tongyang Sun, Chunbao Wang, Zhengzhi Wu, Zhan Zeng, Yajing Shen

Research output: Contribution to conferenceConference Paperpeer-review

Abstract

This paper presents a functional electrical stimulation system to mimic the EMG characterization of patient healthy limb to exercise his/her affected limb. Firstly, the existing problems of functional electrical stimulation system are analyzed. Generally, the existing electrical stimulation systems suffer from fixed waveform, large volume and low portability, which make the effect of treatment difficult to improve. Secondly, the hardware platform of the proposed system is constructed, such as EMG acquisition module, FES module, to realize the acquisition of EMG signal and the generation of electrical stimulation pulse. The characterization of the healthy limb is extracted, and then it is used to exercise the affected limb via FES stimulus. Finally, the wireless communication is build, to realize the wireless communication between modules. The system has the advantage of small volume and high portable. The system can effectively collect EMG signals and generate FES pulses.
Original languageEnglish
Pages398-403
Publication statusPublished - 2017
Externally publishedYes
EventAdvances in Biological Sciences Research -
Duration: 1 Jan 20171 Jan 2017

Conference

ConferenceAdvances in Biological Sciences Research
Period1/01/171/01/17

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