Simulation-Based Framework To Develop A Control System For Functional Electrical Stimulation

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

Abstract

Functional electrical stimulation (FES) has long been used to restore movements in paralyzed individuals. However, other than a small set of simple, preprogrammed movements, it has been challenging to accurately evoke natural movements with FES. This is due to the complexity of the system and moment-by-moment changes in the efficacy of stimulation and muscle fatigue. In this paper, a simulation-based design framework is proposed to develop and validate a FES control system that produces a wide range of complex upper limb movements. By using index finger motions with electromyographic signals as an example, we show the feasibility and effectiveness of the proposed framework to develop an advanced FES control system. Also, we show that error compensations could be used to command adjustments across a population of muscles to enhance movement accuracy.

Original languageEnglish (US)
Title of host publicationProceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022
EditorsCristina Ruiz Martin, Niloufar Emami, Maria Julia Blas, Roya Rezaee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages351-360
Number of pages10
ISBN (Electronic)9781713852889
DOIs
StatePublished - 2022
Event2022 Annual Modeling and Simulation Conference, ANNSIM 2022 -
Duration: Jan 1 2022 → …

Publication series

NameProceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022

Conference

Conference2022 Annual Modeling and Simulation Conference, ANNSIM 2022
Period1/1/22 → …

Keywords

  • artificial neural networks
  • electromyography
  • functional electrical stimulation
  • rehabilitation
  • system identification

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modeling and Simulation
  • Decision Sciences (miscellaneous)

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