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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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2024
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| Online Access: | http://eprints.uthm.edu.my/11729/1/J17154_27de4379e6b584d4b814846bfa00d812.pdf |
| _version_ | 1825638598415745024 |
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| 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 |
| collection | UTHM |
| 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. |
| first_indexed | 2024-12-08T07:42:44Z |
| format | Article |
| id | uthm.eprints-11729 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-12-08T07:42:44Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/11729/1/J17154_27de4379e6b584d4b814846bfa00d812.pdf |
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