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
PDF
【 摘 要 】

【 授权许可】

Unknown   
Copyright © 2023 Zhou, Zhang, Chen, Wong, Ng, Li, Zhou, Zhang, Guo and Hu.

【 预 览 】
附件列表
Files Size Format View
RO202310100441334ZK.pdf 495KB PDF download
  文献评价指标  
  下载次数:0次 浏览次数:0次