期刊论文详细信息
Frontiers in Aging Neuroscience | |
Automatic theranostics for long-term neurorehabilitation after stroke | |
Aging Neuroscience | |
Zengyong Li1  Sa Zhou2  Jianing Zhang2  Xiaoling Hu3  Song Guo4  Fei Chen5  Shamay S. M. Ng6  Thomson Wai-Lung Wong6  Yongjin Zhou7  Shaomin Zhang8  | |
[1] Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Centre for Rehabilitation Technical Aids Beijing, Beijing, China;Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China;Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China;Shenzhen Research Institute, The Hong Kong Polytechnic University, Shenzhen, China;University Research Facility in Behavioural and Systems Neuroscience (UBSN), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China;Research Institute for Smart Ageing (RISA), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China;Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China;Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China;Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China;Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China;Key Laboratory of Biomedical Engineering of Education Ministry, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Department of Biomedical Engineering, School of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China; | |
关键词: long-term neurorehabilitation; stroke; theranostics; automatic treatment; automatic evaluation; automatic rehabilitation management; | |
DOI : 10.3389/fnagi.2023.1154795 | |
received in 2023-01-31, accepted in 2023-04-25, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
【 授权许可】
Unknown
Copyright © 2023 Zhou, Zhang, Chen, Wong, Ng, Li, Zhou, Zhang, Guo and Hu.
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