Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115309
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dc.contributorDepartment of Biomedical Engineeringen_US
dc.contributorResearch Institute for Smart Ageingen_US
dc.contributorDepartment of Applied Biology and Chemical Technologyen_US
dc.creatorLin, Len_US
dc.creatorQing, Wen_US
dc.creatorZheng, Zen_US
dc.creatorPoon, Wen_US
dc.creatorGuo, SSen_US
dc.creatorZhang, Sen_US
dc.creatorHu, XLen_US
dc.date.accessioned2025-09-19T03:24:01Z-
dc.date.available2025-09-19T03:24:01Z-
dc.identifier.urihttp://hdl.handle.net/10397/115309-
dc.language.isoenen_US
dc.publisherFrontiers Research Foundationen_US
dc.rights© 2024 Lin, Qing, Zheng, Poon, Guo, Zhang and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rightsThe following publication Lin, L., Qing, W., Zheng, Z., Poon, W., Guo, S., Zhang, S., & Hu, X. (2024). Somatosensory integration in robot-assisted motor restoration post-stroke. Frontiers in Aging Neuroscience, 16, 1491678 is available at https://doi.org/10.3389/fnagi.2024.1491678.en_US
dc.subjectStrokeen_US
dc.subjectRoboten_US
dc.subjectRehabilitationen_US
dc.subjectSensorimotor integrationen_US
dc.subjectSomatosensory stimulationen_US
dc.subjectMovement recoveryen_US
dc.subjectNeuroimagingen_US
dc.subjectNeuromodulationen_US
dc.titleSomatosensory integration in robot-assisted motor restoration post-strokeen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume16en_US
dc.identifier.doi10.3389/fnagi.2024.1491678en_US
dcterms.abstractDisruption of somatosensorimotor integration (SMI) after stroke is a significant obstacle to achieving precise motor restoration. Integrating somatosensory input into motor relearning to reconstruct SMI is critical during stroke rehabilitation. However, current robotic approaches focus primarily on precise control of repetitive movements and rarely effectively engage and modulate somatosensory responses, which impedes motor rehabilitation that relies on SMI. This article discusses how to effectively regulate somatosensory feedback from target muscles through peripheral and central neuromodulatory stimulations based on quantitatively measured somatosensory responses in real time during robot-assisted rehabilitation after stroke. Further development of standardized recording protocols and diagnostic databases of quantitative neuroimaging features in response to post-stroke somatosensory stimulations for real-time precise detection, and optimized combinations of peripheral somatosensory stimulations with robot assistance and central nervous neuromodulation are needed to enhance the recruitment of targeted ascending neuromuscular pathways in robot-assisted training, aiming to achieve precise muscle control and integrated somatosensorimotor functions, thereby improving long-term neurorehabilitation after stroke.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers in aging neuroscience, 6 Nov. 2024, v. 16, 1491678en_US
dcterms.isPartOfFrontiers in aging neuroscienceen_US
dcterms.issued2024-11-06-
dc.identifier.scopus2-s2.0-85209570808-
dc.identifier.eissn1663-4365en_US
dc.identifier.artn1491678en_US
dc.description.validate202509 bchyen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCDCF_2024-2025-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the University Grants Committee Research Grants Council, Hong Kong (GRF15207120, SRFS2122-5S04, GRF15304322, and GRF15304823), the Hong Kong Polytechnic University (1-ZVVP and 1-CD74), and the Innovation and Technology Fund \u2013 Guangdong-Hong Kong Technology Cooperation Funding Scheme (ITF-TCFS) (GHP/260/22SZ).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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