Hindawi BioMed Research International Volume 2021, Article ID 9967348, 11 pages https://doi.org/10.1155/2021/9967348 Review Article Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation Siyu Yang,1 Ruobing Li,1 Hongtao Li,1,2 Ke Xu,1 Yuqing Shi,1 Qingyong Wang ,1 Tiansong Yang ,1,2,3 and Xiaowei Sun 1,2 1Heilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 8615-0040 2First Affiliated Hospital, Heilongjiang University of Chinese Medicine, 26 Heping Road, Xiangfang District, Harbin, China 8615- 0040 3Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, Department of Rehabilitation Medicine, Shenzhen 518120, China Correspondence should be addressed to Tiansong Yang;
[email protected] and Xiaowei Sun;
[email protected] Received 20 March 2021; Accepted 4 June 2021; Published 19 June 2021 Academic Editor: Wen Si Copyright © 2021 Siyu Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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.