Brain-computer interface technology used in rehabilitation medicine in the last decade:a visualized analysis
Objective To analyze the use of brain-computer interface technology in the field of rehabilitation in the last decade.Methods The articles of brain-computer interface technology used in rehabilitation from January,2013 to August,2023 in CNKI and Web of Science core collection database were retrieved.CiteSpace 6.2.R4 software was applied for visualized analysis,and the corresponding knowledge map was drawn.Results A total of 1 582 literatures were retrived,including 506 in Chinese and 1 076 in English.The annual publication volume was on the rise.For English,China was the country with the highest number of literatures,and the United States with the highest centrality.For Chinese,the most high-yield author was Ming Dong,and the most high-yield institution was Tianjin University;while the most high-yield authors were Birbaumer N and Jochumsen M,and the most high-yield institution was the University of Tübingen in English.Research hotspots included motor imagery,stroke,EEG signals,etc.The researches could be clustered in four areas:basic research,disease,func-tion and joint application.Brain-computer interfaces combined with motor imagery,exoskeleton rehabilitation ro-bots,functional electrical stimulation and virtual reality after stroke accounted for a large portion of applications.Conclusion The research related to brain-computer interfaces applied to the field of rehabilitation is generally on the rise.Future attention may continue to be given to the use of brain-computer interface technology in patients with stroke,spinal cord injury and amyotrophic lateral sclerosis.Basic research on neuroplasticity and signal decoding deserves the attention of domestic scholars.
国家科技期刊平台
NSTL
万方数据
