目的 分析2014-2024年可穿戴设备在老年照护中的研究热点及发展趋势，为医护人员借助人工智能技术优化老年照护实践提供参考。方法 采用CiteSpace工具对Web of Science核心合集数据库中符合标准的文献进行可视化分析，涵盖年发文量、国家分布、机构情况、共被引期刊分析以及关键词聚类等。结果 共3940篇文献纳入可视化分析，发文量最多的国家为美国（1207篇，占30.63%），发文最多的机构为哈佛大学医学院（80篇，占2.03%），PLoS ONE是文献共被引最多的期刊。研究热点主要为健康监测与风险管理、运动管理与行为分析、智能技术与系统优化，未来研究趋势为影响、深度学习和关联性。结论 可穿戴设备的适老化创新应用是当前研究的焦点，其通过人工智能算法优化与多模态数据融合，助力提升了老年健康管理的效能。

Objective To investigate research hotspots and trends in wearable devices for elderly care from 2014 to 2024,and to provide references for healthcare professionals to optimize elderly care practices with artificial intelligence technology.Methods CiteSpace was used to conduct a visual analysis of eligible literature from the Web of Science Core Collection database,including annual publication volume,country distribution,institutional information,co-cited journal analysis,and keyword clustering.Results A total of 3,940 articles were included in the visual analysis.The United States had the highest number of publications (1,207 articles,30.63%).Harvard Medical School was the most productive institution (80 articles,2.03%),and PLoS ONE was the most co-cited journal.The research hotspots mainly focused on health monitoring and risk management,exercise management and behavior analysis,and intelligent technology and system optimization.Future research trends included impact,deep learning,and relevance.Conclusions The innovative application of wearable devices in age-friendly design is the current research focus,which improves the efficiency of elderly health management through the optimization of artificial intelligence algorithms and multi-modal data fusion.

R47

国家自然科学基金重点项目（72034005）