Embedded fuzzy logic controller for functional electrical stimulation system

A. L. Basith; A. Arifin; F. Arrofiqi; T. Watanabe; M. Nuh

doi:10.1109/ISITIA.2016.7828639

Embedded fuzzy logic controller for functional electrical stimulation system

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 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 language	English
Title of host publication	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Subtitle of host publication	Recent Trends in Intelligent Computational Technologies for Sustainable Energy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	89-94
Number of pages	6
ISBN (Electronic)	9781509017096
DOIs	https://doi.org/10.1109/ISITIA.2016.7828639
Publication status	Published - 20 Jan 2017
Event	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016 - Lombok, Indonesia Duration: 28 Jul 2016 → 30 Jul 2016

Publication series

Name	Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

Conference

Conference	2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Country/Territory	Indonesia
City	Lombok
Period	28/07/16 → 30/07/16

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISITIA.2016.7828639

Cite this

Basith, A. L., Arifin, A., Arrofiqi, F., Watanabe, T., & Nuh, M. (2017). Embedded fuzzy logic controller for functional electrical stimulation system. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy (pp. 89-94). Article 7828639 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA.2016.7828639

Basith, A. L. ; Arifin, A. ; Arrofiqi, F. et al. / Embedded fuzzy logic controller for functional electrical stimulation system. Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 89-94 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

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title = "Embedded fuzzy logic controller for functional electrical stimulation system",

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.",

keywords = "cycle-to-cycle control, embedded system, functional electrical stimulation, fuzzy logic controller",

author = "Basith, {A. L.} and A. Arifin and F. Arrofiqi and T. Watanabe and M. Nuh",

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doi = "10.1109/ISITIA.2016.7828639",

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Basith, AL, Arifin, A, Arrofiqi, F, Watanabe, T & Nuh, M 2017, Embedded fuzzy logic controller for functional electrical stimulation system. in Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy., 7828639, Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy, Institute of Electrical and Electronics Engineers Inc., pp. 89-94, 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016, Lombok, Indonesia, 28/07/16. https://doi.org/10.1109/ISITIA.2016.7828639

Embedded fuzzy logic controller for functional electrical stimulation system. / Basith, A. L.; Arifin, A.; Arrofiqi, F. et al.
Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc., 2017. p. 89-94 7828639 (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Embedded fuzzy logic controller for functional electrical stimulation system

AU - Basith, A. L.

AU - Arifin, A.

AU - Arrofiqi, F.

AU - Watanabe, T.

AU - Nuh, M.

PY - 2017/1/20

Y1 - 2017/1/20

N2 - 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.

AB - 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.

KW - cycle-to-cycle control

KW - embedded system

KW - functional electrical stimulation

KW - fuzzy logic controller

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U2 - 10.1109/ISITIA.2016.7828639

DO - 10.1109/ISITIA.2016.7828639

M3 - Conference contribution

AN - SCOPUS:85016789785

T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy

SP - 89

EP - 94

BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016

Y2 - 28 July 2016 through 30 July 2016

ER -

Basith AL, Arifin A, Arrofiqi F, Watanabe T, Nuh M. Embedded fuzzy logic controller for functional electrical stimulation system. In Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy. Institute of Electrical and Electronics Engineers Inc. 2017. p. 89-94. 7828639. (Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy). doi: 10.1109/ISITIA.2016.7828639

Embedded fuzzy logic controller for functional electrical stimulation system

Abstract

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Keywords

UN SDGs

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