Application of brain-computer interface technology in stroke rehabilitation from 2021 to 2025:a bibliometric analysis
10.3969/j.issn.1006-9771.2025.11.005
- VernacularTitle:2021年至2025年脑机接口技术在脑卒中康复领域应用的文献计量分析
- Author:
Yi JIANG
1
;
Kang LIANG
;
Jiahao CHU
;
Dan YANG
;
Fei GAO
;
Hanzhi LI
;
Xiaoxia DU
Author Information
1. 浙江中医药大学附属第三医院,浙江 杭州市 310015
- Publication Type:Journal Article
- Keywords:
stroke;
brain-computer interface;
rehabilitation;
bibliometrics
- From:
Chinese Journal of Rehabilitation Theory and Practice
2025;31(11):1279-1289
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the application trends and research hotspots of brain-computer interface(BCI)technology in stroke rehabilitation over the past five years.Methods Relevant literatures on the use of BCI in stroke rehabilitation published between January,2021 and August,2025 were retrieved from the Web of Science Core Collection database.CiteSpace 6.4.R1 was used for visualiza-tion analysis.Results A total of 458 papers were included.The annual number of publications remained at a high level.China was the leading country in publication output,with Fudan University and Aalborg University as the top institutions.The most prolific author was Mads R.Jochumsen,while G.Pfurtscheller had the highest citation frequency.The key-words and burst terms with the highest frequency in this field were brain-computer interface,motor imagery,up-per limb and deep learning.Conclusion Over the past five years,research on BCI in stroke rehabilitation has maintained a high publication volume.The research hotspots focus on innovations in BCI algorithm technology and multidimensional validation of neu-ral mechanisms and rehabilitation efficacy.
