中国康复理论与实践2026，Vol.32Issue(5)：534-549,16.DOI:10.3969/j.issn.1006-9771.2026.05.004
2015年至2025年数字健康技术在脑卒中上肢运动功能康复中应用的文献计量分析
Application of digital health technologies in upper limb motor function rehabilitation after stroke from 2015 to 2025:a bibliometric analysis
摘要
Abstract
Objective To analyze the current research status,hotspots and future trends of the application of digital health technolo-gy(DHT)in the rehabilitation of upper limb motor function after stroke. Methods Relevant literature on the application of DHT in upper limb motor rehabilitation for stroke patients published between January,2015 and December,2025 was retrieved from Web of Science Core Collection,CNKI and Wan-fang database.CiteSpace 6.4.R1 was used for visualized bibliometric analysis. Results A total of 1 295 publications were included,comprising 454 in Chinese and 841 in English.The annual number of publications generally showed an upward trend.China ranked first in publication output in English literature.The institutions with the highest numbers of publications were Huashan Hospital Affiliated to Fudan University and Swiss Federal Institute of Technology in Zurich.Both Chinese and English keywords formed ten clustering groups.Chinese clusters mainly involved occupational therapy,neural mechanisms and home-based rehabilita-tion,whereas English clusters focused on virtual reality,brain-computer interfaces and machine learning.High-frequency keywords included virtual reality,brain-computer interface,machine learning and deep learning.Chi-nese keywords with a strong burst included rehabilitation training,while deep learning showed a strong burst in English keywords.Stroke was the most frequently cited journal.Highly cited journals covered multiple disci-plines,including rehabilitation medicine,neuroscience and computer science,reflecting the interdisciplinary char-acteristics of this field. Conclusion Researches on DHT for upper limb motor function rehabilitation in stroke are increasing annually,focusing on core interaction technologies,neural mechanism and artificial intelligence.Future research trends may include inter-disciplinary integration of artificial intelligence with core rehabilitation technologies,neuroimaging-guided targeted interventions,optimisation of home-based rehabilitation systems,and development of multidimensional quantitative assessment models.关键词
脑卒中/上肢运动功能/数字健康技术/文献计量学Key words
stroke/upper limb motor function/digital health technology/bibliometrics分类
医药卫生引用本文复制引用
刘睿,高振梅,周星宇,张琦,吴建林..2015年至2025年数字健康技术在脑卒中上肢运动功能康复中应用的文献计量分析[J].中国康复理论与实践,2026,32(5):534-549,16.基金项目
1.国家自然科学基金项目(No.82374311) （No.82374311）
2.山东省中医药科技项目(No.M20241805) （No.M20241805）
3.山东中医药大学科学研究基金项目(No.XK2025LK03) （No.XK2025LK03）
4.山东中医药大学研究生提质创新项目(No.YJSTZCX2025078) Supported by National Natural Science Foundation of China(No.82374311),Shandong Provincial Traditional Chinese Medicine Science and Technology Project(No.M20241805),Shandong University of Traditional Chinese Medicine Scientific Research Fund(No.XK2025LK03),and Shandong University of Traditional Chinese Medicine Postgraduate Quality Enhancement and Innovation Project(No.YJSTZCX2025078) （No.YJSTZCX2025078）
