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Prospects for intelligent rehabilitation techniques to treat motor dysfunction

  • Cong Cong Huo
  • , Ya Zheng
  • , Wei Wei Lu
  • , Teng Yu Zhang
  • , Dai Fa Wang*
  • , Dong Sheng Xu
  • , Zeng Yong Li
  • *此作品的通讯作者
  • Beihang University
  • National Research Center for Rehabilitation Technical Aids
  • Key Laboratory of Rehabilitation Aids Technology and System of the Ministry of Civil Affairs
  • University School of Medicine
  • Yueyang Hospital of Integrated Traditional Chinese and Western Medicine
  • Shanghai University of Traditional Chinese Medicine

科研成果: 期刊稿件文献综述同行评审

摘要

More than half of stroke patients live with different levels of motor dysfunction after receiving routine rehabilitation treatments. Therefore, new rehabilitation technologies are urgently needed as auxiliary treatments for motor rehabilitation. Based on routine rehabilitation treatments, a new intelligent rehabilitation platform has been developed for accurate evaluation of function and rehabilitation training. The emerging intelligent rehabilitation techniques can promote the development of motor function rehabilitation in terms of informatization, standardization, and intelligence. Traditional assessment methods are mostly subjective, depending on the experience and expertise of clinicians, and lack standardization and precision. It is therefore difficult to track functional changes during the rehabilitation process. Emerging intelligent rehabilitation techniques provide objective and accurate functional assessment for stroke patients that can promote improvement of clinical guidance for treatment. Artificial intelligence and neural networks play a critical role in intelligent rehabilitation. Multiple novel techniques, such as braincomputer interfaces, virtual reality, neural circuit-magnetic stimulation, and robot-assisted therapy, have been widely used in the clinic. This review summarizes the emerging intelligent rehabilitation techniques for the evaluation and treatment of motor dysfunction caused by nervous system diseases.

源语言英语
页(从-至)264-269
页数6
期刊Neural Regeneration Research
16
2
DOI
出版状态已出版 - 2月 2021

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