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

《中国康复理论与实践》 ›› 2025, Vol. 31 ›› Issue (1): 85-98.doi: 10.3969/j.issn.1006-9771.2025.01.008

上肢机器人辅助干预脑卒中的文献计量分析

秦晴¹, 刘叶¹, 叶海燕¹, 李晨¹^,², 陈迪¹^,³()

1.中国康复科学所，北京市 100068
2.首都医科大学康复医学院，北京市 100068
3.世界卫生组织国际分类家族中国合作中心，北京市 100068

收稿日期:2024-12-12 修回日期:2024-12-25 出版日期:2025-01-25 发布日期:2025-01-22
通讯作者: 陈迪(1982-)。男，汉族，北京市人，博士，副研究员，世界卫生组织国际分类家族中国合作中心成员，主要研究方向：ICF、残疾研究、康复科学、康复大数据、康复信息，E-mail： chendi@crrc.com.cn。
作者简介:秦晴(1995-)，女，汉族，河南安阳市人，硕士，研究实习员，主要研究方向：康复信息研究、科学计量与评价。
基金资助:
中国康复科学所中央级公益性科研院所基本科研业务费项目(CRSI2022CZ-17);中国康复科学所中央级公益性科研院所基本科研业务费项目(CRSI2022CZ-1)

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

QIN Qing¹, LIU Ye¹, YE Haiyan¹, LI Chen¹^,², CHEN Di¹^,³()

1. China Rehabilitation Science Institute, Beijing 100068, China
2. Capital Medical University School of Rehabilitation Medicine, Beijing 100068, China
3. WHO-FIC Collaborating Center in China, Beijing 100068, China

Received:2024-12-12 Revised:2024-12-25 Published:2025-01-25 Online:2025-01-22
Contact: CHEN Di, E-mail: chendi@crrc.com.cn
Supported by:
The Fundamental Research Funds for Central Public Welfare Research Institutes, conducted by China Rehabilitation Science Institute(CRSI2022CZ-17);The Fundamental Research Funds for Central Public Welfare Research Institutes, conducted by China Rehabilitation Science Institute(CRSI2022CZ-1)

摘要/Abstract

摘要：

目的分析机器人辅助干预脑卒中患者上肢功能的研究进展。

方法在Web of Science核心合集中检索自建库至2024年11月关于机器人辅助疗法应用于脑卒中患者上肢功能康复的文献，采用Citespace 6.4.R1工具对该领域文献的来源国家、作者、机构、学科领域、关键词和引文关系等进行文献计量分析，并且绘制知识图谱。

结果共纳入英文文献198篇，发文量呈上升趋势，中国、意大利、美国发文量较大，发文量最多的机构是罗马生物医学自由大学，发文量最多的作者是Rosati Giulio。共现频率前3位的关键词有motor recovery、activities of daily living、neuroplasticity。突现强度较高的关键词包括rehabilitation robotics、virtual reality、upper limb rehabilitation等。基于关键词聚类的研究重点方向主要有：对上肢运动功能、感觉功能、日常生活活动能力改善和大脑神经可塑性的相关研究。研究涉及基础医学、临床医学、生物医学工程、康复医学、控制科学与工程等领域。

结论机器人辅助干预脑卒中患者上肢功能是一种创新的康复手段。研究热点聚焦于通过机器人辅助干预方法的设计及其效果，研究发现机器人辅助作业疗法可以有效改善患者的上肢功能，促进神经功能重塑，改善上肢主导的日常生活活动能力，并且能够激发患者积极性和康复信心。未来的研究应当更加聚焦于机器人辅助疗法与人工智能、虚拟现实等新兴技术的融合，探索其在精准康复、个性化康复方案制定等方面的应用潜力。

关键词: 脑卒中, 机器人辅助干预, 上肢功能, 康复, 文献计量学

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

中图分类号:

R743.3

秦晴, 刘叶, 叶海燕, 李晨, 陈迪. 上肢机器人辅助干预脑卒中的文献计量分析[J]. 《中国康复理论与实践》, 2025, 31(1): 85-98.

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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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

上肢机器人辅助干预脑卒中的文献计量分析

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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