Optimization of Seating Position and Stimulation Pattern in Functional Electrical Stimulation Cycling: Simulation Study
Само за регистроване кориснике
2022
Аутори
Jafari, EhsanAksoez, Efe A.
Kajganić, Petar
Metani, Amine
Popović-Maneski, Lana
Bergeron, Vance
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Two significant challenges facing functional electrical stimulation (FES) cycling are the low power output and early onset of muscle fatigue, mainly due to the non-physiological and superficial recruitment of motor units and weakness of the antagonistic muscles. Thus optimization of the cycling biomechanical properties and stimulation pattern to achieve maximum output power with minimum applied electrical stimulus is of great importance. To find the optimal seating position and stimulation pattern, the previous works either ignored the muscle's force-velocity and force-length properties or employed complicated muscle models which was a massive barrier to clinical experiments. In this work, an easy-to-use and precise muscle model in conjunction with Jacobian-based torque transfer functions were adopted to determine the optimal seating position, trunk angle, crank arm length, and stimulation intervals. Furthermore, the impact of muscle force-velocity factor in finding the optimal seating... position and stimulation intervals was investigated. The simulation models showed the trivial effect of the force-velocity factor on the resulting optimal seating position of six healthy simulated subjects. This method can enhance the FES-cycling performance and shorten the time-consuming process of muscle model identification for optimization purposes. © 2022 IEEE.
Кључне речи:
optimization / humans / computer simulation / electric stimulation / muscles / electrostimulation / FES-cycling / functional electric stimulation / muscle fatigue / muscle force / seating position / stimulation pattern / stimulation pattern / velocity factorИзвор:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, 2022 July, 725-731Издавач:
- Institute of Electrical and Electronics Engineers Inc.
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200175 (Институт техничких наука САНУ, Београд) (RS-MESTD-inst-2020-200175)
Напомена:
- Peer-reviewed manuscript: https://hdl.handle.net/21.15107/rcub_dais_13576
Повезане информације:
- Друга верзија
https://hdl.handle.net/21.15107/rcub_dais_13576
DOI: 10.1109/EMBC48229.2022.9871339
ISBN: 9781728127828
ISSN: 1557-170X
Scopus: 2-s2.0-85138128683
Институција/група
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - CONF AU - Jafari, Ehsan AU - Aksoez, Efe A. AU - Kajganić, Petar AU - Metani, Amine AU - Popović-Maneski, Lana AU - Bergeron, Vance PY - 2022 UR - https://dais.sanu.ac.rs/123456789/13565 AB - Two significant challenges facing functional electrical stimulation (FES) cycling are the low power output and early onset of muscle fatigue, mainly due to the non-physiological and superficial recruitment of motor units and weakness of the antagonistic muscles. Thus optimization of the cycling biomechanical properties and stimulation pattern to achieve maximum output power with minimum applied electrical stimulus is of great importance. To find the optimal seating position and stimulation pattern, the previous works either ignored the muscle's force-velocity and force-length properties or employed complicated muscle models which was a massive barrier to clinical experiments. In this work, an easy-to-use and precise muscle model in conjunction with Jacobian-based torque transfer functions were adopted to determine the optimal seating position, trunk angle, crank arm length, and stimulation intervals. Furthermore, the impact of muscle force-velocity factor in finding the optimal seating position and stimulation intervals was investigated. The simulation models showed the trivial effect of the force-velocity factor on the resulting optimal seating position of six healthy simulated subjects. This method can enhance the FES-cycling performance and shorten the time-consuming process of muscle model identification for optimization purposes. © 2022 IEEE. PB - Institute of Electrical and Electronics Engineers Inc. C3 - 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) T1 - Optimization of Seating Position and Stimulation Pattern in Functional Electrical Stimulation Cycling: Simulation Study SP - 725 EP - 731 VL - 2022 July DO - 10.1109/EMBC48229.2022.9871339 UR - https://hdl.handle.net/21.15107/rcub_dais_13565 ER -
@conference{ author = "Jafari, Ehsan and Aksoez, Efe A. and Kajganić, Petar and Metani, Amine and Popović-Maneski, Lana and Bergeron, Vance", year = "2022", abstract = "Two significant challenges facing functional electrical stimulation (FES) cycling are the low power output and early onset of muscle fatigue, mainly due to the non-physiological and superficial recruitment of motor units and weakness of the antagonistic muscles. Thus optimization of the cycling biomechanical properties and stimulation pattern to achieve maximum output power with minimum applied electrical stimulus is of great importance. To find the optimal seating position and stimulation pattern, the previous works either ignored the muscle's force-velocity and force-length properties or employed complicated muscle models which was a massive barrier to clinical experiments. In this work, an easy-to-use and precise muscle model in conjunction with Jacobian-based torque transfer functions were adopted to determine the optimal seating position, trunk angle, crank arm length, and stimulation intervals. Furthermore, the impact of muscle force-velocity factor in finding the optimal seating position and stimulation intervals was investigated. The simulation models showed the trivial effect of the force-velocity factor on the resulting optimal seating position of six healthy simulated subjects. This method can enhance the FES-cycling performance and shorten the time-consuming process of muscle model identification for optimization purposes. © 2022 IEEE.", publisher = "Institute of Electrical and Electronics Engineers Inc.", journal = "2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)", title = "Optimization of Seating Position and Stimulation Pattern in Functional Electrical Stimulation Cycling: Simulation Study", pages = "725-731", volume = "2022 July", doi = "10.1109/EMBC48229.2022.9871339", url = "https://hdl.handle.net/21.15107/rcub_dais_13565" }
Jafari, E., Aksoez, E. A., Kajganić, P., Metani, A., Popović-Maneski, L.,& Bergeron, V.. (2022). Optimization of Seating Position and Stimulation Pattern in Functional Electrical Stimulation Cycling: Simulation Study. in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Institute of Electrical and Electronics Engineers Inc.., 2022 July, 725-731. https://doi.org/10.1109/EMBC48229.2022.9871339 https://hdl.handle.net/21.15107/rcub_dais_13565
Jafari E, Aksoez EA, Kajganić P, Metani A, Popović-Maneski L, Bergeron V. Optimization of Seating Position and Stimulation Pattern in Functional Electrical Stimulation Cycling: Simulation Study. in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022;2022 July:725-731. doi:10.1109/EMBC48229.2022.9871339 https://hdl.handle.net/21.15107/rcub_dais_13565 .
Jafari, Ehsan, Aksoez, Efe A., Kajganić, Petar, Metani, Amine, Popović-Maneski, Lana, Bergeron, Vance, "Optimization of Seating Position and Stimulation Pattern in Functional Electrical Stimulation Cycling: Simulation Study" in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022 July (2022):725-731, https://doi.org/10.1109/EMBC48229.2022.9871339 ., https://hdl.handle.net/21.15107/rcub_dais_13565 .
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