Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/111964
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dc.contributorDepartment of Rehabilitation Sciences-
dc.creatorBao, SC-
dc.creatorSun, R-
dc.creatorTong, RKY-
dc.date.accessioned2025-03-19T07:35:27Z-
dc.date.available2025-03-19T07:35:27Z-
dc.identifier.urihttp://hdl.handle.net/10397/111964-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Bao, S.-C., Sun, R., & Tong, R. K.-Y. (2024). Pedaling Asymmetry Reflected by Bilateral EMG Complexity in Chronic Stroke. Entropy, 26(7), 538 is available at https://doi.org/10.3390/e26070538.en_US
dc.subjectComplexityen_US
dc.subjectEMGen_US
dc.subjectFuzzy approximate entropyen_US
dc.subjectPedaling asymmetryen_US
dc.subjectStrokeen_US
dc.titlePedaling asymmetry reflected by bilateral EMG complexity in chronic strokeen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume26-
dc.identifier.issue7-
dc.identifier.doi10.3390/e26070538-
dcterms.abstractThis study examines pedaling asymmetry using the electromyogram (EMG) complexity of six bilateral lower limb muscles for chronic stroke survivors. Fifteen unilateral chronic stroke and twelve healthy participants joined passive and volitional recumbent pedaling tasks using a self-modified stationary bike with a constant speed of 25 revolutions per minute. The fuzzy approximate entropy (fApEn) was adopted in EMG complexity estimation. EMG complexity values of stroke participants during pedaling were smaller than those of healthy participants (p = 0.002). For chronic stroke participants, the complexity of paretic limbs was smaller than that of non-paretic limbs during the passive pedaling task (p = 0.005). Additionally, there was a significant correlation between clinical scores and the paretic EMG complexity during passive pedaling (p = 0.022, p = 0.028), indicating that the paretic EMG complexity during passive movement might serve as an indicator of stroke motor function status. This study suggests that EMG complexity is an appropriate quantitative tool for measuring neuromuscular characteristics in lower limb dynamic movement tasks for chronic stroke survivors.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEntropy, July 2024, v. 26, no. 7, 538-
dcterms.isPartOfEntropy-
dcterms.issued2024-07-
dc.identifier.scopus2-s2.0-85199862384-
dc.identifier.eissn1099-4300-
dc.identifier.artn538-
dc.description.validate202503 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key R&D Program of China; National Natural Science Foundation of China; Shenzhen Science and Technology Program; Innovation and Technology Fund, Hong Kong SARen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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