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dc.contributor.authorDing, Li
dc.contributor.authorWang, Xu
dc.contributor.authorGuo, Xiaoli
dc.contributor.authorChen, Shugeng
dc.contributor.authorWang, Hewei
dc.contributor.authorJiang, Ning
dc.contributor.authorJia, Jie
dc.date.accessioned2018-08-17 16:09:18 (GMT)
dc.date.available2018-08-17 16:09:18 (GMT)
dc.date.issued2018-08-13
dc.identifier.urihttps://dx.doi.org/10.1109/TNSRE.2018.2864990
dc.identifier.urihttp://hdl.handle.net/10012/13606
dc.description© 2018 IEEE.Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.description.abstractMirror visual feedback (MVF) is used widely for motor recovery after stroke, but an optimal training setup and systematic procedure are lacking. New optimization strategies have been proposed, one of which is a camera technique. We investigated the effects of a camera-based MVF setup on motor function and motor processes upstream for upper-limb rehabilitation. Seventy-nine stroke patients were assigned randomly to the MVF group (MG; N = 38) or conventional group (CG; N = 41), which respectively received camera-based MVF and dosage-equivalent physiotherapy or/and occupational therapy for 1 h/day and 5 days/week for 4 weeks. Two clinical scales were used to quantify the effect of the intervention methods: the Fugl–Meyer Assessment-Upper Limb (FMA-UL) subscale and Barthel Index (BI). The hand laterality task was used to evaluate the ability of mental rotation, including the reaction time (RT) and accuracy (ACC). All measurements improved significantly for both groups following intervention. FMA-UL was improved significantly in the MG compared with that in the CG. In lateralization tasks, the RT of the MG was significantly shorter than that of the CG at the endpoint. For all patients, judgments for the affected side were significantly slower and less accurate than for the less-affected side. Subgroup analyses suggested greater benefits of motor function, the activities of daily life, and mental rotation were achieved in subacute patients after MVF. A trend towards greater improvements in motor function for patients with severe–moderate motor impairment and patients with right-hemisphere damage were also revealed. Camera-based MVF improved the motor function and ability of mental rotation for stroke patients, especially for patients in the subacute stage, which indicates the potential to improve motor preparation. Further studies might combine mental rotation with electroencephalography to investigate the neuro-mechanism of MVF.en
dc.description.sponsorshipScience and Technology Commission of Shanghai Municipality (15441901601, 16441905303)en
dc.description.sponsorshipNational Natural Science Foundation of China (61771313)en
dc.description.sponsorshipNational High Technology Research and Development Program of China (SS2015AA020501)en
dc.description.sponsorshipKey Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period (2013BAI10B03)en
dc.description.sponsorshipNatural Sciences andEngineering Research Council of Canada (072169)en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.subjectCamerasen
dc.subjectHospitalsen
dc.subjectMental rotationen
dc.subjectmirror therapyen
dc.subjectMirrorsen
dc.subjectmotor preparationen
dc.subjectstrokeen
dc.subjectTask analysisen
dc.subjectTrainingen
dc.subjectVisualizationen
dc.titleCamera-based Mirror Visual Feedback: Potential to Improve Motor Preparation in Stroke Patientsen
dc.typeArticleen
dcterms.bibliographicCitationDing, L., Wang, X., Guo, X., Chen, S., Wang, H., Jiang, N., & Jia, J. (2018). Camera-based Mirror Visual Feedback: Potential to Improve Motor Preparation in Stroke Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 1–1. https://doi.org/10.1109/TNSRE.2018.2864990en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Systems Design Engineeringen
uws.typeOfResourceTexten
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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