上肢机器人辅助干预脑卒中的文献计量分析

doi:10.3969/j.issn.1006-9771.2025.01.008

Abstract

Abstract:

Objective To analyze the advance of robot-assisted therapy in upper limb functions of patients with stroke.

Methods A search was conducted in the Web of Science Core Collection for literature on the application of robot-assisted therapy in upper limb functions of patients with stroke, from inception to November, 2024. Citespace 6.4.R1 was used to perform bibliometric analysis, including countries of origin, authors, institutions, subject areas, keywords and citation relationships, and knowledge mapping techniques were also utilized.

Results A total of 198 publications in English were included, showing an upward trend in publication volume. China, Italy and the United States ranked highest in publication counts, with the University Campus Bio-Medico of Rome, Italy contributing the most. Among authors, Giulio Rosati had the highest number of publications. The top three co-occurring keywords were motor recovery, activities of daily living and neuroplasticity. Keywords with the highest citation bursts included rehabilitation robotics, virtual reality and upper limb rehabilitation. Keyword clustering identified four primary research directions: improving upper limb motor function, enhancing sensory function, increasing activities of daily living and promoting brain neuroplasticity. The research spanned several disciplines, including basic medicine, clinical medicine, biomedical engineering, rehabilitation medicine and therapy, and control science and engineering.

Conclusion Robot-assisted therapy for the upper limb function in stroke patients constitutes an innovative rehabilitation approach. Current research hotspots focus on both the design of robot-assisted therapy and their effectiveness. Findings suggest that robot-assisted occupational therapy can effectively improve upper limb function, facilitate neuroplasticity, enhance activities of daily living reliant on the upper limbs, and boost patients motivation and confidence in rehabilitation. Future research should emphasize integrating robot-assisted therapy with emerging technologies such as artificial intelligence and virtual reality, to explore its potential in precise rehabilitation strategies and the development of personalized rehabilitation programs.

Key words: stroke, robot-assisted therapy, upper limb function, rehabilitation, bibliometrics

CLC Number:

R743.3

QIN Qing, LIU Ye, YE Haiyan, LI Chen, CHEN Di. Robot-assisted therapy for upper limb of stoke: a bibliometrics analysis[J]. Chinese Journal of Rehabilitation Theory and Practice, 2025, 31(1): 85-98.

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References 43

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排序	国家/地区	发文量/n	引文半衰期/年	中心性
1	中国	59	10.5	0.11
2	意大利	34	10.5	0.16
3	美国	31	13.5	0.17
4	德国	20	12.5	0.10
5	加拿大	13	6.5	0.06
6	英国	11	7.5	0.12
7	韩国	11	5.5	0
8	荷兰	10	8.5	0
9	瑞士	8	4.5	0.02
10	新加坡	7	10.5	0.01

排序	作者	被引频次	中心性	半衰期
1	Kwakkel Gert	87	0.09	12.5
2	Mehrholz Jan	74	0.11	8.5
3	Lo Albert C	46	0.06	6.5
4	Veerbeek Janne Marieke	41	0.04	5.5
5	Lum Peter Stanley	39	0.12	12.5

排序	机构名称	发文量/n	中心性
1	Chang Gung University	13	0.00
2	Harvard University	10	0.00
3	Taiwan University	8	0.00
4	华中科技大学	7	0.00
5	University Campus Bio-Medico-Rome Italy	7	0.03
6	Chungnam National University	6	0.00
7	ETH Zurich	6	0.00
8	IRCCS Santa Lucia	6	0.02
9	Technische Universitat Dresden	6	0.01
10	University of Padua	6	0.00

排序	研究	频次	中心性
1	Rodgers等^[13](2019)	28	0.09
2	Veerbeek等^[14](2017)	23	0.11
3	Bertani等^[15](2017)	17	0.20
4	Chien等^[16](2020)	13	0.05
5	Klamroth-Marganska等^[17](2014)	12	0.15

排序	研究	频次	中心性
1	Bertani等^[13](2017)	17	0.20
2	Klamroth-Marganska等^[17](2014)	12	0.15
3	Lo等^[18](2010)	10	0.13
4	Veerbeek等^[14](2017)	23	0.11
5	Rodgers等^[15](2019)	28	0.09

Robot-assisted therapy for upper limb of stoke: a bibliometrics analysis

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排序	对应一级学科	WOS学科分类	中文对照	频次	中心性
1	基础医学	neurosciences	神经科学	65	0.69
2	临床医学	rehabilitation	康复	60	0.05
3	生物医学工程	engineering, biomedical	工程和生物医学	41	0.37
4	临床医学	clinical neurology	临床神经病学	31	0.18
5	控制科学与工程	robotics	机器人	22	0.48

排序	关键词	频次	中心性
1	motor recovery	46	0.10
2	activities of daily living	44	0.28
3	neuroplasticity	29	0.32
4	exoskeleton robots	29	0.12
5	arm rehabilitation	24	0.28

排序	研究重点	LLR聚类关键词
1	机器人辅助干预脑卒中患者上肢功能改善ADL的相关研究	activities of daily living、quality of life、daily living scale、asymmetric bimanual adl training
2	机器人辅助干预脑卒中患者上肢感觉功能的相关研究	sensory stimulation、position sense、arm-weight support、functional electrical stimulation
3	机器人辅助干预脑卒中患者上肢运动功能的相关研究	motor control、motor function、active movement feedback、motor cortex
4	机器人辅助干预脑卒中患者上肢功能对其大脑神经可塑性的相关研究	neurorehabilitation、functional near-infrared spectroscopy、cortical stimulation、brain-machine interface

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