Identification of Wrist Elastic Moment in Healthy Subjects for Control by Functional Electrical Stimulation

Akinori Shimomura, Seiichiro Katsura

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

Abstract

This study is for a functional electrical stimulation. Functional electrical stimulation is a system that uses electrical stimulation to generate specific joint movements. If the nerve is alive, it is possible to promote muscle contraction from the outside by electrical stimulation. If arbitrary movements are generated, to build a control system is necessary for functional electrical stimulation. A model of muscle contraction is needed for control using functional electrical stimulation. It is assumed that the control accuracy will be improved by incorporating the necessary information into the model based on human physiology. In this study, the angle-dependent term in the reaction during muscle contraction is focused as one of the necessary information characteristics. As the angle changes, the muscle condition changes, resulting in responses such as stretch reflexes and repulsive forces. This is important information because if such a response is not taken into consideration, an error will occur between the model and the actual output. In the conventional research, the angle-dependent term was identified by focusing on the lower limbs, and the parameter fitting was realized by using the double exponential function. In this study, the knowledge of the previous study is applied to the upper limbs to build a model. Since the response is different between the upper limbs and the lower limbs, the movements are not always the same. Therefore, verification was performed. From the experimental results, the model based on the double exponential function was a model that took individual differences into consideration even in the upper limbs.

Original languageEnglish
Title of host publication15th IEEE International Conference on Human System Interaction, HSI 2022
PublisherIEEE Computer Society
ISBN (Electronic)9781665468220
DOIs
Publication statusPublished - 2022
Event15th IEEE International Conference on Human System Interaction, HSI 2022 - Melbourne, Australia
Duration: 2022 Jul 282022 Jul 31

Publication series

NameInternational Conference on Human System Interaction, HSI
Volume2022-July
ISSN (Print)2158-2246
ISSN (Electronic)2158-2254

Conference

Conference15th IEEE International Conference on Human System Interaction, HSI 2022
Country/TerritoryAustralia
CityMelbourne
Period22/7/2822/7/31

Keywords

  • elasticity
  • functional electrical stimulation
  • identification
  • modeling

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

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