Determination of stimulation timing pattern based on EMG signals for fes cycling with pedaling wheelchair

Takashi Watanabe, Takumi Tadano

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

A simple functional electrical stimulation (FES) cycling control with the pedaling wheelchair was developed in our previous study. However, it needed measurement of muscle response time of each stimulated muscle before cycling. In addition, cycling speed varied between subjects and between trials. In this study, stimulation timing pattern was determined based on EMG signals and tested in FES cycling for the pedaling wheelchair with healthy subjects. The EMG-based stimulation timing, in which stimulation start timing for the rectus femoris was modified to be the same as the vastus lateralis, was shown to be effective improving cycling speed and stability of FES cycling. The timing pattern could be practical because it does not require measurements of muscle response times.

Original languageEnglish
Title of host publicationEMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017
EditorsHannu Eskola, Outi Vaisanen, Jari Viik, Jari Hyttinen
PublisherSpringer Verlag
Pages394-397
Number of pages4
ISBN (Print)9789811051210
DOIs
Publication statusPublished - 2017
EventJoint Conference of the European Medical and Biological Engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2107 - Tampere, Finland
Duration: 2017 Jun 112017 Jun 15

Publication series

NameIFMBE Proceedings
Volume65
ISSN (Print)1680-0737

Conference

ConferenceJoint Conference of the European Medical and Biological Engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2107
Country/TerritoryFinland
CityTampere
Period17/6/1117/6/15

Keywords

  • Cycling
  • EMG
  • FES
  • Pedaling wheelchair

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