Embedded fuzzy logic controller for functional electrical stimulation system

A. L. Basith, A. Arifin, F. Arrofiqi, Takashi Watanabe, M. Nuh

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

4 Citations (Scopus)

Abstract

Functional electrical stimulation (FES) is one of the most common techniques used to improve motor function in individuals with paralysis. In this study, fuzzy logic controller implemented in embedded system for wearable FES was developed. The controller was designed as Single Input Single Output (SISO) and Multi Input Single Output (MISO) controllers to manage electrical stimulation for seven muscles in thigh and shank and to induce certain joint movements. The system was realized in two steps utilizing 32-bit ARM microcontrollers, STM32F429 and STM32F103C8T6, respectively. Closed-loop control was used in the system and realized using feedback from the sensors. Serial communication was utilized for data transmission between embedded system and PC/laptop as monitoring station. Experiments done to test the performance of SISO controller of knee flexion proved that the system was able to adjust burst duration and to control joint movement induced. The system designed was expected to be helpful for clinical application of motor function improvement.

Original languageEnglish
Title of host publicationProceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages89-94
Number of pages6
ISBN (Electronic)9781509017096
DOIs
Publication statusPublished - 2017 Jan 20
Event2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 - Lombok, Indonesia
Duration: 2016 Jul 282016 Jul 30

Other

Other2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Country/TerritoryIndonesia
CityLombok
Period16/7/2816/7/30

Keywords

  • cycle-to-cycle control
  • embedded system
  • functional electrical stimulation
  • fuzzy logic controller

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Renewable Energy, Sustainability and the Environment

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