1,415 research outputs found
Muscle synergies and clinical outcome measures describe different factors of upper limb motor function in stroke survivors undergoing rehabilitation in a virtual reality environment
Recent studies have investigated muscle synergies as biomarkers for stroke, but it remains controversial if muscle synergies and clinical observation convey the same information on motor impairment. We aim to identify whether muscle synergies and clinical scales convey the same information or not. Post-stroke patients were administered an upper limb treatment. Before (T0) and after (T1) treatment, we assessed motor performance with clinical scales and motor output with EMG-derived muscle synergies. We implemented an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) to identify the underlying relationships among all variables, at T0 and T1, and a general linear regression model to infer any relationships between the similarity between the affected and unaffected synergies (Median-sp) and clinical outcomes at T0. Clinical variables improved with rehabilitation whereas muscle-synergy parameters did not show any significant change. EFA and CFA showed that clinical variables and muscle-synergy parameters (except Median-sp) were grouped into different factors. Regression model showed that Median-sp could be well predicted by clinical scales. The information underlying clinical scales and muscle synergies are therefore different. However, clinical scales well predicted the similarity between the affected and unaffected synergies. Our results may have implications on personalizing rehabilitation protocols
Some Weighted Hardy-type Inequalities of Vector-Valued Functions
By adopting the C-technique of Cheung and Pečrić, we establish some interesting weighted Hardy-type inequalities of vector-valued functions. These generalize and improve some existing results of Cheung, Cheung-Hanjš-Pēcarić, Hanjš-Love-Pečarić, Levinson, and Pachpatte. [ABSTRACT FROM AUTHOR
汉英同传中删减与增译现象的案例分析
Author name used in this publication: 张其帆, Cheung Kay-fan AndrewTitle in Traditional Chinese: 漢英同傳中刪減與增譯現象的案例分析Journal title in Traditional Chinese: 中國翻譯2011-2012 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishedVoR allowe
Xin li ji jiu yu wei ji shi jian he zai nan zhong zuo wei gong gong wei sheng zai nan ying dui zhun bei de ce lüe
Cheung, Yee Lai.Thesis Ph.D. Chinese University of Hong Kong 2014.Includes bibliographical references (leaves 193-207).Abstracts and some appendixes also in Chinese.Title from PDF title page (viewed on 02, December, 2016).Cheung, Yee Lai
Non-negative matrix factorization algorithms modeling noise distributions within the exponential family
Characterization of Human Papillomavirus Type 58 E7 Protein Variant T20I/G63S
Cheung, Pui Yiu Grace.Thesis M.Phil. Chinese University of Hong Kong 2016.Includes bibliographical references (leaves ).Abstracts also in Chinese.Title from PDF title page (viewed on …)
Minority Media Production Practices and Cultural Citizenship in Hong Kong
Chong, Cheung Kwan Cindy.Thesis Ph.D. Chinese University of Hong Kong 2016.Includes bibliographical references (leaves ).Abstracts also in Chinese.Title from PDF title page (viewed on …)
Directed Multigraph of Networks
Cheung, King Chau.Thesis Ph.D. Chinese University of Hong Kong 2016.Includes bibliographical references (leaves ).Abstracts also in Chinese.Title from PDF title page (viewed on …)
Synthetic Studies of Curved Heptagon-embedded Polycyclic Arenes
Cheung, Kwan Yin.Thesis Ph.D. Chinese University of Hong Kong 2016.Includes bibliographical references (leaves ).Abstracts also in Chinese.Title from PDF title page (viewed on …)
SaccpaNet : a separable atrous convolution-based cascade pyramid attention network to estimate body landmarks using cross-modal knowledge transfer for under-blanket sleep posture classification
202509 bchyVersion of RecordRGCOthersThis work was supported in part by General Research Fund (GRF) from the University Grants Committee of Hong Kong under Grants PolyU15223822, and in part by the Research Institute for Smart Ageing of The Hong Kong Polytechnic University under Grants P0039001. Andy Yiu-Chau Tam and Ye-Jiao Mao are co-first authors. Duo Wai-Chi Wong and James Chung-Wai Cheung contributed equally to this work. (Corresponding author: Duo Wai-Chi Wong, James Chung-Wai Cheung) Andy Yiu-Chau Tam and James Chung-Wai Cheung are with the Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China, and Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong 999077, China ([email protected]; [email protected]).Early releaseC
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