《中国康复理论与实践》 ›› 2024, Vol. 30 ›› Issue (12): 1407-1419.doi: 10.3969/j.issn.1006-9771.2024.12.006

• 循证研究 • 上一篇    下一篇

虚拟现实技术在脑卒中康复中应用的文献计量分析

刘叶1,2, 陈迪1,2(), 秦晴1, 及翔3,4, 田益凡1, 叶海燕1   

  1. 1.中国康复科学所康复信息研究部,北京市 100068
    2.世界卫生组织国际分类家族中国合作中心,北京市 100068
    3.首都医科大学康复医学院,北京市 100068
    4.中国康复研究中心北京博爱医院,北京市 100068
  • 收稿日期:2024-11-22 出版日期:2024-12-25 发布日期:2024-12-30
  • 通讯作者: 陈迪(1982-),男,汉族,北京市人,博士,副研究员,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 E-mail:chendi@crrc.com.cn
  • 作者简介:刘叶(1997-),女,汉族,北京市人,助理馆员,主要研究方向:康复文献研究、康复信息、康复科学。
  • 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(CRSI2024CZ-23)

Application of virtual reality technology in rehabilitation of stroke: a bibliometric analysis

LIU Ye1,2, CHEN Di1,2(), QIN Qing1, JI Xiang3,4, TIAN Yifan1, YE Haiyan1   

  1. 1. Rehabilitation Information Research Department, China Rehabilitation Science Institute, Beijing 100068, China
    2. WHO-FIC Collaborating Center in China, Beijing 100068, China
    3. Capital Medical University School of Rehabilitation Medicine, Beijing 100068, China
    4. Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing 100068, China
  • Received:2024-11-22 Published:2024-12-25 Online:2024-12-30
  • 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(CRSI2024CZ-23)

摘要:

目的 探索虚拟现实技术在脑卒中患者康复领域应用的研究现状和前沿热点。

方法 检索中国知网和Web of Science核心合集自建库至2024年8月关于虚拟现实技术在脑卒中患者康复领域应用的相关文献,采用Citespace 6.2.R7对作者、机构和关键词等绘制知识图谱。

结果 共纳入文献485篇,其中中文201篇,英文284篇。中、英文发文量均呈上升趋势,发文量最多的中、英文文献作者分别是屈云和Rocco Salvatore Calabro。发文量最多的中、英文文献机构分别是中山大学附属第三医院和IRCCS Bonino Pulejo。关键词共现和聚类结果表明,虚拟现实技术应用于脑卒中康复中的中、英文关键词较为一致,主要有偏瘫、平衡功能、上肢功能、认知功能。中文突现强度比较高的关键词包括运动功能、认知功能、上肢功能等,英文突现强度比较高的关键词包括上肢、认知障碍、环境等。该领域的研究热点聚焦于虚拟现实技术对脑卒中患者的运动功能康复、认知功能康复、肢体功能康复以及虚拟现实技术结合常规治疗的研究。

结论 虚拟现实技术作为一种仿真信息技术,已经广泛应用于脑卒中患者的运动功能康复、认知功能康复、肢体功能康复领域。采用虚拟现实技术结合常规康复治疗,可以提升患者功能水平及日常生活活动能力。未来虚拟现实技术可能会在与数字疗法、脑机接口等新技术方面进一步开展研究,以改善脑卒中患者的步态和上肢功能。

关键词: 脑卒中, 虚拟现实, 文献计量学

Abstract:

Objective To explore the research status and hot spots of virtual reality in the field of stroke rehabilitation.

Methods The literature related to the application of virtual reality technology in stroke rehabilitation was retrieved in CNKI and Web of Science core collection from establishiment to August, 2024. The knowledge map of authors, institutions and keywords was drawn by Citespace 6.2.R7.

Results A total of 485 papers were retreived, including 201 in Chinese and 284 in English. The number of articles published in both Chinese and English was on the rise. Qu Yun was the Chinese author with the most articles, and Rocco Salvatore Calabro was the English author. The Third Affiliated Hospital of Sun Yat-Sen University and IRCCS Bonino Pulejo published the most papers respectively. The results of keyword co-occurrence and clustering were consistent in the Chinese and English keywords, mainly included hemiplegia, balance function, upper limb function and cognitive function. The keywords with high bursting intensity in Chinese included motor function, cognitive function and upper limb function, while those with high bursting intensity in English included upper limb, cognitive impairment and environment. The hot spots in this field focused on the virtual reality technology for stroke patients' motor function rehabilitation, cognitive function rehabilitation, limb function rehabilitation and virtual reality technology combined with conventional treatment.

Conclusion Virtual reality technology, as a simulation information technology, has been widely applied in the fields of motor function rehabilitation, cognitive function rehabilitation and limb function rehabilitation for stroke patients. The combination of virtual reality technology with conventional rehabilitation therapy could enhance the functional level and activities of daily living. More researches may focus on conjunctions of virtual reality technology with new technologies such as digital therapeutics and brain-computer interfaces, to improve the gait and upper limb functions of stroke patients.

Key words: stroke, virtual reality, bibliometrics

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