近10年脑机接口技术用于康复医学领域的可视化分析

doi:10.3969/j.issn.1006-9771.2024.04.006

《中国康复理论与实践》 ›› 2024, Vol. 30 ›› Issue (4): 416-423.doi: 10.3969/j.issn.1006-9771.2024.04.006

近10年脑机接口技术用于康复医学领域的可视化分析

杨榕¹, 王倩², 訾阳², 陈怡婷¹, 李映彩¹, 冷军²()

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

收稿日期:2023-09-30 修回日期:2024-01-10 出版日期:2024-04-25 发布日期:2024-05-08
通讯作者: 冷军(1967-)，女，硕士，主任医师，硕士研究生导师，主要研究方向：脑、脊髓损伤相关的中西医结合康复。E-mail： 2908860266@qq.com
作者简介:杨榕(1997-)，女，汉族，安徽宣城市人，硕士研究生，康复治疗师，主要研究方向：脑、脊髓损伤相关的中西医结合康复。
基金资助:
1.山东省中医药科技发展计划项目(2017-104);2.山东省医药卫生科技发展计划项目(202020011200);3.福建省国家中医临床研究基地专项科研课题(JDZX201915)

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

YANG Rong¹, WANG Qian², ZI Yang², CHEN Yiting¹, LI Yingcai¹, LENG Jun²()

1. College of Rehabilitation, Shandong University of Traditional Chinese Medicine, Ji'nan, Shandong 250014, China
2. Department of Rehabilitation Medicine, the Second Affiliated Hospital to Shandong University of Traditional Chinese Medicine, Ji'nan, Shandong 250001, China

Received:2023-09-30 Revised:2024-01-10 Published:2024-04-25 Online:2024-05-08
Contact: LENG Jun, E-mail： 2908860266@qq.com
Supported by:
Science and Technology Development Program of Shandong Provincial Traditional Chinese Medicine(2017-104);Projects of Medical and Health Technology Development Program in Shandong Province(202020011200);Specialized Scientific Research Topics of National Clinical Research Base of Traditional Chinese Medicine in Fujian Province(JDZX201915)

摘要/Abstract

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。

关键词: 脑机接口, 康复医学, 可视化分析

Abstract:

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, function and joint application. Brain-computer interfaces combined with motor imagery, exoskeleton rehabilitation robots, 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.

Key words: brain-computer interface, rehabilitation medicine, visualized analysis

中图分类号:

杨榕, 王倩, 訾阳, 陈怡婷, 李映彩, 冷军. 近10年脑机接口技术用于康复医学领域的可视化分析[J]. 《中国康复理论与实践》, 2024, 30(4): 416-423.

YANG Rong, WANG Qian, ZI Yang, CHEN Yiting, LI Yingcai, LENG Jun. Brain-computer interface technology used in rehabilitation medicine in the last decade: a visualized analysis[J]. Chinese Journal of Rehabilitation Theory and Practice, 2024, 30(4): 416-423.

图/表 11

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序号	中文作者	发文量/n	序号	英文作者	发文量/n
1	明东	11	1	Birbaumer N	21
2	何峰	7	2	Jochumsen M	21
3	王仲朋	6	3	Guan C	18
4	伏云发	5	4	Ang K K	16
5	陈龙	4	5	Azorín J M	16

编号	大小	Silhouette	主要关键词
#0	68	0.906	共空间模式、功能性近红外光谱、脑卒中
#1	37	0.862	支持向量机、运动想象、事件相关去同步、下肢运动想象、相关指数分析
#2	34	0.871	脑卒中、上肢、上肢运动功能、综述、信息交换
#3	33	0.791	脑电信号、康复训练、深度学习、人工智能、卷积神经网络
#4	30	0.960	接口技术、微电极、大脑皮质、外骨骼
#5	20	0.811	康复、功能性电刺激、功能重建、神经性疼痛
#6	10	0.980	聚类分析、研究热点、文献计量学、脑卒中康复

编号	大小	Silhouette	主要关键词
#0	44	0.619	functional connectivity; stroke recovery; functional near-infrared spectroscopy; functional electrical stimulation; action observation
#1	39	0.760	motor imagery; stroke rehabilitation; virtual reality
#2	37	0.746	spinal cord injury; motor imagery; functional electrical stimulation; tetraplegia; motor learning
#3	36	0.636	deep learning; task analysis; feature extraction; brain modeling; convolutional neural network
#4	36	0.551	assistive technology; machine learning; electroencephalogram; evaluation; upper extremity neuroproteins
#5	32	0.696	amyotrophic lateral sclerosis; locked-in state; locked-in syndrome; transcranial direct current stimulation; laterality coefficient
#6	29	0.704	event-related desynchronization; event-related synchronization; mathematical models; cognitive dysfunction
#7	28	0.715	potentials; performance; communication; machine interfaces; movement intention

排名	研究	频次	中心性
1	Ramos-Murguialday A等^[11](2013)	129	0.25
2	Biasiucci A等^[12](2018)	111	0.15
3	Cervera M A等^[13](2018)	102	0.06
4	Lotte F等^[14](2018)	95	0.19
5	Pichiorri F等^[15](2015)	85	0.21

近10年脑机接口技术用于康复医学领域的可视化分析

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

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序号	机构	发文量/n	中心性	序号	机构	发文量/n	中心性
1	天津大学	36	0.00	1	图宾根大学	57	0.19
2	华南理工大学	23	0.00	2	图宾根大学医学院	45	0.19
3	燕山大学	18	0.00	3	奥尔堡大学	36	0.10
4	杭州电子科技大学	17	0.00	4	苏黎世联邦理工学院	33	0.05
5	复旦大学附属华山医院	11	0.03	5	洛桑联邦理工学院	25	0.02

序号	关键词	频次	中心性
1	运动想象	42	0.23
2	脑卒中	39	0.11
3	综述	8	0.02
4	卷积神经网络	7	0.00
5	脑电信号	7	0.04
6	上肢	7	0.02
7	康复机器人	6	0.07
8	虚拟现实	6	0.01
9	人工智能	6	0.02
10	运动功能	6	0.01

序号	关键词	频次	中心性
1	motor imagery	345	0.01
2	electroencephalogram	192	0.03
3	recovery	177	0.06
4	classification	171	0.04
5	stroke	139	0.01
6	system	96	0.08
7	stroke rehabilitation	92	0.05
8	communication	91	0.04
9	performance	87	0.03
10	functional electrical stimulation	85	0.06

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