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dc.creatorJafari, Ehsan
dc.creatorAksoez, Efe A.
dc.creatorKajganić, Petar
dc.creatorMetani, Amine
dc.creatorPopović-Maneski, Lana
dc.creatorBergeron, Vance
dc.date.accessioned2022-12-25T12:02:04Z
dc.date.available2023-09-08
dc.date.issued2022
dc.identifier.isbn9781728127828
dc.identifier.issn1557-170X
dc.identifier.urihttps://dais.sanu.ac.rs/123456789/13576
dc.description.abstractTwo 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.
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200175/RS//
dc.relation.isversionofhttps://hdl.handle.net/21.15107/rcub_dais_13565
dc.relation.isversionofhttp://dx.doi.org/10.1109/EMBC48229.2022.9871339
dc.rightsembargoedAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectoptimization
dc.subjecthumans
dc.subjectcomputer simulation
dc.subjectelectric stimulation
dc.subjectmuscles
dc.subjectelectrostimulation
dc.subjectFES-cycling
dc.subjectfunctional electric stimulation
dc.subjectmuscle fatigue
dc.subjectmuscle force
dc.subjectseating position
dc.subjectstimulation pattern
dc.subjectstimulation pattern
dc.subjectvelocity factor
dc.titleOptimization of Seating Position and Stimulation Pattern in Functional Electrical Stimulation Cycling: Simulation Study
dc.typeconferenceObject
dc.rights.licenseBY-NC-ND
dc.citation.spage725
dc.citation.epage731
dc.citation.volume2022 July
dc.identifier.doi10.1109/EMBC48229.2022.9871339
dc.identifier.scopus2-s2.0-85138128683
dc.description.otherThis is the peer-reviewed version of the paper: 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", 2022 July (2022):725-731, [https://doi.org/10.1109/EMBC48229.2022.9871339]
dc.type.versionacceptedVersion
dc.identifier.fulltexthttp://dais.sanu.ac.rs/bitstream/id/54198/postprint-Optimization_of_Seating_Position_and_Stimulation_Pattern_in_Functional_Electrical_Stimulation_Cycling__Simulation_Study_1.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_dais_13576


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