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近10年脑机接口技术用于康复医学领域的可视化分析OA北大核心CSTPCD

Brain-computer interface technology used in rehabilitation medicine in the last decade:a visualized analysis

中文摘要英文摘要

目的 分析近10年脑机接口技术应用于康复领域的相关研究. 方法 检索2013年1月至2023年8月中国知网和Web of Science核心合集中有关脑机接口技术用于康复领域的文献.应用CiteSpace 6.2.R4软件进行可视化分析并绘制知识图谱. 结果 共纳入1 582篇文献,其中中文文献506篇,英文文献1 076篇.中英文年发文量均呈上升趋势.英文文献中,中国为发文量最多的国家,美国中心性最高.中文高产作者为明东,高产机构为天津大学.英文高产作者为Birbaumer N、Jochumsen M,高产机构为图宾根大学.中英文研究热点包括运动想象、脑卒中、脑电信号等.聚类结果显示,相关研究主要聚集于基础研究、疾病、功能以及联合应用4个方面.脑机接口联合运动想象、外骨骼康复机器人、功能性电刺激、虚拟现实等在脑卒中后的应用占较大比例. 结论 脑机接口应用于康复医学领域相关研究的热度总体呈上升趋势.未来可持续关注脑机接口技术在脑卒中、脊髓损伤、肌萎缩侧索硬化症患者中的应用.神经可塑性和信号解码等基础研究值得国内学者关注.

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.

杨榕;王倩;訾阳;陈怡婷;李映彩;冷军

山东中医药大学康复医学院,山东济南市 250014山东中医药大学第二附属医院康复医学科,山东济南市 250001

临床医学

脑机接口康复医学可视化分析

brain-computer interfacerehabilitation medicinevisualized analysis

《中国康复理论与实践》 2024 (004)

416-423 / 8

1.山东省中医药科技发展计划项目(No.2017-104);2.山东省医药卫生科技发展计划项目(No.202020011200);3.福建省国家中医临床研究基地专项科研课题(No.JDZX201915) Supported by Science and Technology Development Program of Shandong Provincial Traditional Chinese Medicine(No.2017-104),Projects of Medical and Health Technology Development Program in Shandong Province(No.202020011200),and Specialized Scientific Research Topics of National Clinical Research Base of Traditional Chinese Medicine in Fujian Province(No.JDZX201915)

10.3969/j.issn.1006-9771.2024.04.006

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