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Closed-Loop Functional Electrical Stimulation (FES) – Cycling Rehabilitation with Phase Control Fuzzy Logic for Fatigue Reduction Control Strategies for Stroke Patients

Functional Electrical Stimulation (FES) cycling, or FES-Cycling, holds great therapeutic potential for individuals with paralysis, such as those with Spinal Cord Injury (SCI), traumatic brain injury, or stroke, aiming to restore mobility. However, the nonlinear nature of the musculoskeletal system p...

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Main Authors: Ahmad, Mohd Khairul Ikhwan, Shamsudin, Abu Ubaidah, Soomro, Zubair Adil, Abdul Rahim, Ruzairi, KSM Kader Ibrahim, Babul Salam, Huq, Mohammad Saiful
Format: Article
Language:English
Published: 2024
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/11729/1/J17154_27de4379e6b584d4b814846bfa00d812.pdf
http://eprints.uthm.edu.my/11729/
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spelling my.uthm.eprints.117292024-11-27T07:33:22Z http://eprints.uthm.edu.my/11729/ Closed-Loop Functional Electrical Stimulation (FES) – Cycling Rehabilitation with Phase Control Fuzzy Logic for Fatigue Reduction Control Strategies for Stroke Patients Ahmad, Mohd Khairul Ikhwan Shamsudin, Abu Ubaidah Soomro, Zubair Adil Abdul Rahim, Ruzairi KSM Kader Ibrahim, Babul Salam Huq, Mohammad Saiful T Technology (General) Functional Electrical Stimulation (FES) cycling, or FES-Cycling, holds great therapeutic potential for individuals with paralysis, such as those with Spinal Cord Injury (SCI), traumatic brain injury, or stroke, aiming to restore mobility. However, the nonlinear nature of the musculoskeletal system poses a significant challenge in controlling FES-Cycling. To address this, an integrated closed-loop phase angle fuzzy-based system was developed. This system offers real-time control by adjusting stimulation intensity (pulse width) within the range of 50 to 200μs while maintaining a constant frequency of 35Hz, thereby ensuring precise pedaling trajectory and cadence patterns. An experimental study involved three healthy individuals (Cases A, B, and C) and one individual with hemiplegia stroke (Case D). Results showed that the proposed system consistently reduced average angle trajectory errors for Cases A, B, and C, with values of 2.6945, 3.2958, and 2.9922 degrees, respectively. Case D, affected by hemiplegia stroke, faced greater challenges and exhibited a higher error of 3.4562 degrees. Fatigue resistance, evaluated through fatigue indices, showed promising results for Cases A, B, and C with values of 0.10778, 0.06866, and 0.04603, respectively. However, Case D experienced higher fatigue (0.2304) due to the unique challenges of hemiplegia stroke. These findings highlight the effectiveness of the proposed control system in optimizing FESCycling, particularly for healthy individuals. For individuals with paralysis, like Case D, further research is needed to adapt the system to their specific conditions and cycling patterns. This system holds potential for enhancing FES-Cycling as a therapeutic strategy and warrants additional investigation and customization for different patient populations. 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/11729/1/J17154_27de4379e6b584d4b814846bfa00d812.pdf Ahmad, Mohd Khairul Ikhwan and Shamsudin, Abu Ubaidah and Soomro, Zubair Adil and Abdul Rahim, Ruzairi and KSM Kader Ibrahim, Babul Salam and Huq, Mohammad Saiful (2024) Closed-Loop Functional Electrical Stimulation (FES) – Cycling Rehabilitation with Phase Control Fuzzy Logic for Fatigue Reduction Control Strategies for Stroke Patients. SINERGI, 28 (1). pp. 1-12. ISSN 1410-2331
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ahmad, Mohd Khairul Ikhwan
Shamsudin, Abu Ubaidah
Soomro, Zubair Adil
Abdul Rahim, Ruzairi
KSM Kader Ibrahim, Babul Salam
Huq, Mohammad Saiful
Closed-Loop Functional Electrical Stimulation (FES) – Cycling Rehabilitation with Phase Control Fuzzy Logic for Fatigue Reduction Control Strategies for Stroke Patients
description Functional Electrical Stimulation (FES) cycling, or FES-Cycling, holds great therapeutic potential for individuals with paralysis, such as those with Spinal Cord Injury (SCI), traumatic brain injury, or stroke, aiming to restore mobility. However, the nonlinear nature of the musculoskeletal system poses a significant challenge in controlling FES-Cycling. To address this, an integrated closed-loop phase angle fuzzy-based system was developed. This system offers real-time control by adjusting stimulation intensity (pulse width) within the range of 50 to 200μs while maintaining a constant frequency of 35Hz, thereby ensuring precise pedaling trajectory and cadence patterns. An experimental study involved three healthy individuals (Cases A, B, and C) and one individual with hemiplegia stroke (Case D). Results showed that the proposed system consistently reduced average angle trajectory errors for Cases A, B, and C, with values of 2.6945, 3.2958, and 2.9922 degrees, respectively. Case D, affected by hemiplegia stroke, faced greater challenges and exhibited a higher error of 3.4562 degrees. Fatigue resistance, evaluated through fatigue indices, showed promising results for Cases A, B, and C with values of 0.10778, 0.06866, and 0.04603, respectively. However, Case D experienced higher fatigue (0.2304) due to the unique challenges of hemiplegia stroke. These findings highlight the effectiveness of the proposed control system in optimizing FESCycling, particularly for healthy individuals. For individuals with paralysis, like Case D, further research is needed to adapt the system to their specific conditions and cycling patterns. This system holds potential for enhancing FES-Cycling as a therapeutic strategy and warrants additional investigation and customization for different patient populations.
format Article
author Ahmad, Mohd Khairul Ikhwan
Shamsudin, Abu Ubaidah
Soomro, Zubair Adil
Abdul Rahim, Ruzairi
KSM Kader Ibrahim, Babul Salam
Huq, Mohammad Saiful
author_facet Ahmad, Mohd Khairul Ikhwan
Shamsudin, Abu Ubaidah
Soomro, Zubair Adil
Abdul Rahim, Ruzairi
KSM Kader Ibrahim, Babul Salam
Huq, Mohammad Saiful
author_sort Ahmad, Mohd Khairul Ikhwan
title Closed-Loop Functional Electrical Stimulation (FES) – Cycling Rehabilitation with Phase Control Fuzzy Logic for Fatigue Reduction Control Strategies for Stroke Patients
title_short Closed-Loop Functional Electrical Stimulation (FES) – Cycling Rehabilitation with Phase Control Fuzzy Logic for Fatigue Reduction Control Strategies for Stroke Patients
title_full Closed-Loop Functional Electrical Stimulation (FES) – Cycling Rehabilitation with Phase Control Fuzzy Logic for Fatigue Reduction Control Strategies for Stroke Patients
title_fullStr Closed-Loop Functional Electrical Stimulation (FES) – Cycling Rehabilitation with Phase Control Fuzzy Logic for Fatigue Reduction Control Strategies for Stroke Patients
title_full_unstemmed Closed-Loop Functional Electrical Stimulation (FES) – Cycling Rehabilitation with Phase Control Fuzzy Logic for Fatigue Reduction Control Strategies for Stroke Patients
title_sort closed-loop functional electrical stimulation (fes) – cycling rehabilitation with phase control fuzzy logic for fatigue reduction control strategies for stroke patients
publishDate 2024
url http://eprints.uthm.edu.my/11729/1/J17154_27de4379e6b584d4b814846bfa00d812.pdf
http://eprints.uthm.edu.my/11729/
_version_ 1817845161103720448
score 13.223943

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