Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115310
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dc.contributorDepartment of Biomedical Engineering-
dc.contributorResearch Institute for Smart Ageing-
dc.contributorDepartment of Rehabilitation Sciences-
dc.contributorSchool of Nursing-
dc.creatorLuo, Y-
dc.creatorHuang, C-
dc.creatorSong, Z-
dc.creatorNazari, V-
dc.creatorWong, AYL-
dc.creatorYang, L-
dc.creatorDong, M-
dc.creatorZhang, M-
dc.creatorZheng, Y-
dc.creatorFu, A, S, N-
dc.date.accessioned2025-09-19T03:24:01Z-
dc.date.available2025-09-19T03:24:01Z-
dc.identifier.urihttp://hdl.handle.net/10397/115310-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rights© 2025 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 Luo, Y.-Y., Huang, C., Song, Z., Nazari, V., Wong, A. Y.-L., Yang, L., Dong, M., Zhang, M., Zheng, Y.-P., Fu, A. S.-N., & Ma, C. Z.-H. (2025). Wearable Ultrasound-Imaging-Based Visual Feedback (UVF) Training for Ankle Rehabilitation of Chronic Stroke Survivors: A Proof-of-Concept Randomized Crossover Study. Biosensors, 15(6), 365 is available at https://doi.org/10.3390/bios15060365.en_US
dc.subjectMuscle trainingen_US
dc.subjectStrokeen_US
dc.subjectTibialis anterioren_US
dc.subjectUltrasound imagingen_US
dc.subjectVisual feedbacken_US
dc.subjectR software version 4.3.0en_US
dc.subjectCorrelation methodsen_US
dc.subjectDynamometersen_US
dc.subjectFeedbacken_US
dc.subjectMuscleen_US
dc.subjectNeuromuscular rehabilitationen_US
dc.subjectStatistical testsen_US
dc.subjectTorqueen_US
dc.subjectVisual communicationen_US
dc.subjectWearable technologyen_US
dc.subjectChronic stroke survivorsen_US
dc.subjectDorsifen_US
dc.titleWearable ultrasound-imaging-based visual feedback (UVF) training for ankle rehabilitation of chronic stroke survivors : a proof-of-concept randomized crossover studyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume15-
dc.identifier.issue6-
dc.identifier.doi10.3390/bios15060365-
dcterms.abstractThis study investigated the effect of wearable ultrasound-imaging-based visual feedback (UVF) on assisting paretic ankle dorsiflexion training of chronic stroke survivors. Thirty-three participants with unilateral hemiplegia performed maximal isometric contractions on an isokinetic dynamometer in randomized conditions with and without UVF that provided by a wearable ultrasound imaging system. Torque parameters (mean, peak, percentage of maximal voluntary contraction) and tibialis anterior muscle thickness were analyzed across different contraction phases. Statistical comparisons were conducted using paired t-tests or Wilcoxon tests. Correlation analyses were performed using Pearson’s or Spearman’s tests. Results demonstrated that UVF significantly improved torque output, as evidence by the increased percentage of maximal voluntary contraction (%MVC) during entire contractions (p = 0.007), increased mean (p ≤ 0.022) and peak (p ≤ 0.044) torque and the %MVC (p ≤ 0.004) during mid and end phases, and larger muscle thickness during mid contraction (p = 0.045). Moderate correlations were found between torque and muscle thickness (r ≥ 0.30, p ≤ 0.049). These findings preliminarily supported the positive outcomes of real-time wearable UVFs in enhancing paretic ankle dorsiflexion strength and force control during isometric contractions in chronic stroke survivors. While the developed and validated new training protocol may potentially serve as a practical adjunct to existing rehabilitation approaches, further investigations emphasizing the functional outcomes and clinical translations are still needed to verify the clinical utility.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationBiosensors, 2025, v. 15, no. 6, 365-
dcterms.isPartOfBiosensors-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105009085308-
dc.identifier.pmid40558447-
dc.identifier.eissn2079-6374-
dc.identifier.artn365-
dc.description.validate202509 bchy-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCDCF_2024-2025en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis study was partially supported by the Hong Kong Research Grants Council\u2014Early Career Scheme (Ref: 25100523); and Research Institute for Smart Ageing, The Hong Kong Polytechnic University (Ref: P0050739).en_US
dc.description.pubStatusPublisheden_US
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