Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation. (19th June 2021)

• Record Type: Journal Article
• Authors: Yang, Siyu; Li, Ruobing; Li, Hongtao; Xu, Ke; Shi, Yuqing; Wang, Qingyong; Yang, Tiansong; Sun, Xiaowei
• Other Names: Si Wen Academic Editor.
• Is Part Of: BioMed research international. Volume 2021(2021)
• Publication Date: 2021-06-19
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Life sciences -- Periodicals; 610.5
• DOI: 10.1155/2021/9967348
• Languages: English
• ISSNs: 2314-6133

Abstract

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.