中国组织工程研究

中国组织工程研究 ›› 2026, Vol. 30 ›› Issue (31): 8272-8281.doi: 10.12307/2026.345

• 干细胞相关大数据分析 Stem cell-related big data analysis • 上一篇    下一篇

软体机器人康复应用：大健康背景下多学科交叉与趋势的文献计量分析

史刘朋1，谢良玉2，丹禹钦3，李  旺4，王  洁4，时  良4，师  彬4，曹盛楠4，孙国栋5，6   

  1. 1山东中医药大学医学信息工程学院，山东省济南市   250355；2山东第一医科大学医学信息与人工智能学院，山东省济南市   250117；3山东中医药大学康复医学院，山东省济南市   250355；4山东第一医科大学附属颈肩腰腿痛医院，山东省济南市   250062；5山东第一医科大学第三附属医院(山东省医学科学院附属医院)康复科，山东省济南市   250031；6天津大学医学工程与转化医学研究院，天津市   300072
  • 收稿日期:2025-05-06 接受日期:2025-08-20 出版日期:2026-11-08 发布日期:2026-05-26
  • 通讯作者: 曹盛楠，博士，博士后，主治医师，硕士研究生导师，山东第一医科大学附属颈肩腰腿痛医院，山东省济南市 250062 共同通讯作者：孙国栋，博士，主任医师，教授，山东第一医科大学第三附属医院(山东省医学科学院附属医院)康复科，山东省济南市 250031；天津大学医学工程与转化医学研究院，天津市 300072
  • 作者简介:史刘朋，男，2002年生，山东省菏泽市人，汉族，山东中医药大学在读硕士，主要从事医疗设备应用技术研究。 共同第一作者：谢良玉，女，1997年生，山东省济南市人，汉族，山东第一医科大学在读博士，主要从事可穿戴健康监测技术和康复机器人方向研究。
  • 基金资助:
    国家自然科学基金项目(82405600)，项目负责人：曹盛楠；中国博士后科学基金(2024M761872)，项目负责人：曹盛楠；山东省重点研发计划(2022CXGC020510)，项目负责人：孙国栋；山东省高等学校青年创新团队(2024KJN012)，项目负责人：曹盛楠；山东省高等学校青年创新团队(2023KJ176)，项目负责人：时良；济南市临床医学科技创新计划(202328051)，项目负责人：曹盛楠；济南市科技计划项目(202430007)，项目负责人：孙国栋

Bibliometric analysis of soft robotic rehabilitation applications: a multidisciplinary perspective and trend insight in the context of greater health

Shi Liupeng1, Xie Liangyu2, Dan Yuqin3, Li Wang4, Wang Jie4, Shi Liang4, Shi Bin4, Cao Shengnan4, Sun Guodong5, 6   

  1. 1School of Medical Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China; 2College of Medical Information and Artificial Intelligence, Shandong First Medical University, Jinan 250117, Shandong Province, China; 3Rehabilitation Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China; 4Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan 250062, Shandong Province, China; 5Rehabilitation Department, the Third Affiliated Hospital of Shandong First Medical University (Affiliated Hospital of Shandong Academy of Medical Sciences), Jinan 250031, Shandong Province, China; 6School of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
  • Received:2025-05-06 Accepted:2025-08-20 Online:2026-11-08 Published:2026-05-26
  • Contact: Cao Shengnan, PhD, Attending physician, Master’s supervisor, Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Jinan 250062, Shandong Province, China. Co-corresponding author: Sun Guodong, PhD, Chief physician, Professor, Rehabilitation Department, the Third Affiliated Hospital of Shandong First Medical University (Affiliated Hospital of Shandong Academy of Medical Sciences), Jinan 250031, Shandong Province, China; School of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
  • About author:Shi Liupeng, MS candidate, School of Medical Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China. Xie Liangyu, PhD candidate, College of Medical Information and Artificial Intelligence, Shandong First Medical University, Jinan 250117, Shandong Province, China Shi Liupeng and Xie Liangyu contributed equally to this work.
  • Supported by:
    the National Natural Science Foundation of China, No. 82405600 (to CSN); China Postdoctoral Science Foundation, No. 2024M761872 (to CSN); Shandong Provincial Key Research and Development Program, No. 2022CXGC020510 (to SGD); Shandong Provincial Higher Education Institutes Young Innovative Team, Nos. 2024KJN012 (to CSN) and 2023KJ176 (to SL); Jinan Clinical Medicine Science and Technology Innovation Program, No. 202328051 (to CSN); Jinan Science and Technology Program, No. 202430007 (to SGD)

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摘要：

文题释义：

软体机器人：是一种以柔性材料为主体的机器人系统，通常包括软体结构、传感器和控制系统。软体机器人通过形状变化或弹性运动适应不同环境，提供更加精确、柔和的操作，尤其适用于需要高精度、低创伤的医疗场景。
大健康：是一种以人的全面健康为核心，强调健康不仅是身体的无病状态，还涵盖心理、社会和环境等多维度的健康生活方式。它倡导全生命周期、全方位的健康管理，注重预防优先、治疗为辅，旨在促进身心健康、社会和谐与环境可持续发展。

摘要
背景：软体机器人是一种由柔性材料构成的机器人系统，能够适应非结构化环境并具备良好的生物相容性，近年来在康复领域的应用研究不断增加，但目前仍缺乏对该领域研究现状和热点趋势的文献计量学分析。
目的：分析近10年软体机器人在康复医学领域的研究动态，揭示其前沿热点与发展趋势。
方法：使用计算机检索Web of Science数据库中2014-2024年关于软体机器人康复应用的相关文献，采用VOSviewer 1.6.20、CiteSpace.V.6.2.R6、Charticulator和Bibliometrix等文献计量学软件，进行文献计量和知识图谱可视化分析。
结果与结论：共纳入596篇Web of Science核心数据库文献，随着时间的推移，软体机器人在康复医学领域的发文量逐渐增加。中国和美国在发文量和被引量上排名处于前2位，但中国学者的发文质量存在不均衡性。发文量靠前的作者分别是Yu Wenwei、Cianchetti Matteo和Menciassi Arianna，分别在该领域的研究中做出了重要贡献。发表相关文章最多的期刊为《IEEE Robotics and Automation Letters》和《Soft Robotics》，均为该领域的权威期刊。关键词共现、聚类、时间线视图和突现分析揭示了该领域最近的研究内容集中在发展多功能性和智能化的软体康复机器人。文章通过文献计量分析构建了软体机器人康复应用领域研究的知识图谱，系统总结了该领域的研究现状和热点，旨在为未来的相关研究提供参考和指导。

关键词: 软体机器人, 康复应用, 大健康, 可视化分析, 文献计量学, 康复医学

Abstract: BACKGROUND: Soft robotics involves robotic systems made from flexible materials that can adapt to unstructured environments and offer excellent biocompatibility and has seen a rise in applied research in the field of rehabilitation in recent years. However, there remains a lack of bibliometric analyses on the current state of research and emerging trends in this domain.
OBJECTIVE: To analyze the research dynamics of soft robots in rehabilitation medicine over the past decade, revealing cutting-edge hotspots and development trends in the field.
METHODS: Relevant literature on soft robotic rehabilitation applications from 2014 to 2024 in the Web of Science database was searched by computer, and bibliometrics software such as VOSviewer 1.6.20, CiteSpace.V.6.2.R6, Charticulator and Bibliometrix were used for bibliometric and knowledge graph visualization analyses.
RESULTS AND CONCLUSION: A total of 596 Web of Science core database documents were included, and the number of publications regarding soft robotic rehabilitation applications has gradually increased over time. China and the United States rank the top two in terms of the number of publications and citations, but there is an imbalance in the quality of publications in China. The authors with the highest number of publications are Yu Wenwei, Cianchetti Matteo and Menciassi Arianna, who have made important contributions to the research in this field. The journals with the most relevant publications are IEEE Robotics and Automation Letters and Soft Robotics, both authoritative journals in the field. The keywords co-occurrence, clustering, timeline view and emergent analyses reveal that recent research in this field has focused on developing versatile and intelligent soft rehabilitation robots. The knowledge map of research in the field of soft robotics rehabilitation applications is constructed through bibliometric analysis, systematically summarizing the current status and hotspots of research in the field, aiming to provide references and guidance for future related studies.

Key words: soft robots, rehabilitation applications, greater health, visual analysis, bibliometrics, rehabilitation medicine

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