Development of a novel FES control system based on treadmill motor current variation for gait rehabilitation of hemiplegic patients after stroke

Jing Ye, Yasutaka Nakashima, Takao Watanabe, Masatoshi Seki, Bo Zhang, Quanquan Liu, Yuki Yokoo, Yo Kobayashi, Qixin Cao, Masakatsu G. Fujie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In consideration of a large proportion of stroke survivors with persistent deficits, current interventions have limited ability to restore normal motor function. We propose a gait training system for gait rehabilitation of hemiplegic patients with convalescent stroke. It consists of a functional electrical stimulation (FES) device which is used to influence the gait pattern instantly to improve the quality of the gait, and a treadmill with two separated belts. The stimulus triggers from the FES could be controlled automatically by the subject's gait phase determination, including stance phase and swing phase. Gait phase could be estimated and recognized through observing current value variation of the treadmill motor during the subject's walking on the treadmill belts. In this paper, we have preliminarily tested the feasibility of the proposed method through hemiplegic simulation experiments. Also, Tibialis Anterior (TA) and quadriceps on the hemiplegic side were successfully stimulated by the expected FES stimuli during gait.

Original languageEnglish
Title of host publicationICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems
Pages635-640
Number of pages6
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju, Korea, Republic of
Duration: Oct 20 2013Oct 23 2013

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
Country/TerritoryKorea, Republic of
CityGwangju
Period10/20/1310/23/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Development of a novel FES control system based on treadmill motor current variation for gait rehabilitation of hemiplegic patients after stroke'. Together they form a unique fingerprint.

Cite this