Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation.

Journal: BioMed research international
Published Date:

Abstract

With the continuous development of artificial intelligence technology, "brain-computer interfaces" are gradually entering the field of medical rehabilitation. As a result, brain-computer interfaces (BCIs) have been included in many countries' strategic plans for innovating this field, and subsequently, major funding and talent have been invested in this technology. In neurological rehabilitation for stroke patients, the use of BCIs opens up a new chapter in "top-down" rehabilitation. In our study, we first reviewed the latest BCI technologies, then presented recent research advances and landmark findings in BCI-based neurorehabilitation for stroke patients. Neurorehabilitation was focused on the areas of motor, sensory, speech, cognitive, and environmental interactions. Finally, we summarized the shortcomings of BCI use in the field of stroke neurorehabilitation and the prospects for BCI technology development for rehabilitation.

Authors

  • Siyu Yang
    Heilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 8615-0040.
  • Ruobing Li
    Heilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 8615-0040.
  • Hongtao Li
    Heilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 8615-0040.
  • Ke Xu
    Mechatronics Engineering of University of Electronic Science and Technology of China, Chengdu, 611731, China.
  • YuQing Shi
    Jinjiang Third Hospital, Quanzhou 362000, China.
  • Qingyong Wang
    School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, China.
  • Tiansong Yang
    Heilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 8615-0040.
  • Xiaowei Sun
    Heilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 8615-0040.