可穿戴设备应用于健康管理领域的研究热点分析-现代医学

可穿戴设备应用于健康管理领域的研究热点分析

单位：1. 东南大学附属中大医院门诊部, 江苏南京 210009;
2. 东南大学护理系, 江苏南京 210009

分类号：R197.38

出版年·卷·期（页码）：2026·54·第二期（250-258）

摘要：

目的： 运用文献计量学分析可穿戴设备在健康管理领域的研究现状、热点与趋势，对可穿戴设备在健康管理领域应用的研究现状进行可视化分析。方法： 检索截至2025年11月26日Web of Science核心合集数据库收录的相关文献，运用CiteSpace软件对文献进行可视化分析。结果： 共检索到3 358篇文献，经筛选后纳入2 341篇。年度发文量呈上升趋势。发文量较多的机构多为科研院校，如加州大学、哈佛大学、中国科学院等，尽管参与研究的机构众多，但尚未形成高度紧密的合作网络。发文量最多的国家为中国。研究热点主要集中在可穿戴设备的创新研发及智能化发展方面，关键词有“wearable devices(可穿戴设备)”“artificial intelligence(人工智能)”和“chronic disease management(慢性病管理)”3大主题。聚类分析共形成12个主题群，涵盖移动健康、人工智能、慢性病管理等新兴方向。研究趋势从早期的设备监测功能研发，逐步过渡至可穿戴设备与移动健康应用的结合，目前已经进入可穿戴设备在专病领域的临床应用。结论： 健康相关可穿戴设备应用已形成多类型、广场景、强集成的发展态势，近期物联网结合人工智能技术研究备受关注，促进了主动健康模式的快速发展。

Objective: To analyze the research status, hotspots and trends of wearable devices in the field of health management, and to conduct a visual analysis of the research status of wearable devices applied in health management. Methods: Relevant literatures included in the Web of Science Core Collection database up to November 26, 2025 were retrieved, and CiteSpace software was used for visual analysis of the literatures. Results: A total of 3 358 literatures were retrieved, and 2 341 literatures were included after screening. The annual number of published papers showed an upward trend. Most of the institutions with high publication output were research universities and academies, such as the University of California, Harvard University, and the Chinese Academy of Sciences, Despite the large number of participating research institutions,but a highly close cooperation network has not yet been formed. China ranked first in the number of published papers. Research hotspots mainly focus on the innovative research and development as well as the intelligent development of wearable devices. The key words include three major themes: “wearable devices”, “artificial intelligence”, and “chronic disease management”. A total of 12 thematic clusters were formed through cluster analysis, covering emerging directions such as mobile health, artificial intelligence, and chronic disease management. The research trend has gradually transitioned from the research and development of device monitoring functions in the early stage to the integration of wearable devices with mobile health applications, and has now entered the clinical application of wearable devices in specific disease fields. Conclusion: The research and development of health-related wearable devices have shown a development trend of diversification, multi-scenario application and strong integration. Recently, the research combining the Internet of Things(IoT) with artificial intelligence technology has attracted much attention, which has accelerated the rapid development of the proactive health management model.

参考文献：

[1] 国务院.印发《“健康中国2030”规划纲要》[EB/OL].国发
[2016] 32号.https://www.gov.cn/zhengce/201610/25/content_5124174.htm.
[2] 国务院.关于印发“十四五”国民健康规划的通知[EB/OL].国发
[2022] 11号.https://www.gov.cn/zhengce/content/2022-05/20/content_5691424.htm.
[3] 倪晨旭,汤佳,邵宝魁,等.智能穿戴设备与老年健康——来自智能手环的证据[J].人口学刊,2023,45(6):50-67.
[4] 施楚,李俊,王云仪.基于温度监测的糖尿病足预防性智能鞋袜研究进展[J].纺织学报,2024,45(7):240-247.
[5] 潘彦铮,付竹梅,计岳龙.可穿戴设备评估儿童神经发育障碍的研究进展[J].中国儿童保健杂志,2025,33(6):633-637.
[6] HELMER P,HOTTENROTT S,WIENBÖKER K,et al.Postoperative use of fitness trackers for continuous monitoring of vital signs:a survey of hospitalized patients[J].J Clin Monit Comput,2025,39(5):1077-1086.
[7] 周宏宇,李子孝,王春娟.人工智能赋能终端设备驱动的神经系统疾病全病程闭环管理[J].中国卒中杂志,2025,20(8):935-941.
[8] 帅贞瑜,侯金倩,高维纬,等.可穿戴惯性传感器在膝骨关节炎康复评估与治疗中的应用[J].中国康复医学杂志,2024,39(5):747-752.
[9] DUNN J,RUNGE R,SNYDER M.Wearables and the medical revolution[J].Per Med,2018,15(5):429-448.
[10] LYMBERIS A.Research and development of smart wearable health applications:the challenge ahead[J].Stud Health Technol Inform,2004,108:155-161.
[11] AHMAD JAN M,CAI J,GAO X C,et al.Security and blockchain convergence with Internet of multimedia things:current trends,research challenges and future directions[J].J Netw Comput Appl,2021,175.
[12] NAIK A,NALEPA J,WIJATA A M,et al.Artificial intelligence and digital twins for the personalised prediction of hypertension risk[J].Comput Biol Med,2025,196(Pt A):110718.
[13] 李梓涵昕,罗萍.社会网络分析视角下可穿戴设备产业合作创新网络特征及演化研究——基于中美专利数据[J].科技管理研究,2020,40(13):217-225.
[14] HEIKENFELD J,JAJACK A,ROGERS J,et al.Wearable sensors:modalities,challenges,and prospects[J].Lab Chip,2018,18(2):217-248.
[15] 梁东妍,苏斌虓,刘仁怀,等.ICU患者睡眠监测研究进展[J].现代医学,2022,50(11):1471-1474.
[16] 房东阳,金义光.可穿戴设备在药物递送中的研究进展[J].材料工程,2024,52(8):76-86.
[17] WANG L,WANG Y,WU X,et al.Advances in microneedles for transdermal diagnostics and sensing applications[J].Mikrochim Acta,2024,191(7):406.
[18] MAHMOOD M,MZURIKWAO D,KIM Y S,et al.Fully portable and wireless universal brain-machine interfaces enabled by flexible scalp electronics and deep learning algorithm[J].Nat Mach Intell,2019,1(9):412-422.
[19] 董凯,吕天梅,盛非凡,等.面向个性化健康医疗的智能纺织品研究进展[J].纺织学报,2024,45(1):240-249.
[20] TRIANTAFYLLIDIS A,KONDYLAKIS H,KATEHAKIS D,et al.Smartwatch interventions in healthcare:a systematic review of the literature[J].Int J Med Inform,2024,190:105560.
[21] 于家豪,陶凯.振动俘能技术在可穿戴领域的应用[J].机械工程学报,2022,58(20):46-71.
[22] 张炯,张国辰,廖建国,等.可穿戴纱线基摩擦纳米发电机的研究进展[J/OL].复合材料学报,1-18[2025-12-04].https://doi.org/10.13801/j.cnki.fhclxb.20251124.001.
[23] 于天卓,高瑞桐,许林琪,等.可穿戴设备用于家庭心脏康复运动的研究进展[J].护理学杂志,2022,37(2):18-21.
[24] BROERS E R,WIDDERSHOVEN J,DENOLLET J,et al.Personalized eHealth program for life-style change:results from the “do cardiac health advanced new generated ecosystem(do CHANGE 2)” randomized controlled trial[J].Psychosom Med,2020,82(4):409-419.
[25] MOORE J,MCMEEKIN P,STUART S,et al.Better understanding fall risk:AI-based computer vision for contextual gait assessment[J].Maturitas,2024,189:108116.
[26] 余新艳,赵珺,赵晓晔,等.移动智慧医疗在基层老年慢性病患者心血管病防控中的应用研究[J].中国全科医学,2023,26(33):4167-4172.
[27] 丁苗佳,杨燕茹,沈水娟,等.信息化管理平台结合可穿戴设备在慢性肾病患者自我管理中的应用[J].护理学杂志,2024,39(22):116-120.
[28] 韩允,史媛媛,宋文静,等.基于可穿戴式步行引导仪的可视化步行训练对帕金森病冻结步态患者步行能力的影响[J].中国康复医学杂志,2024,39(1):45-52.
[29] 陈珉惺,朱青,陈桑桑,等.数字健康技术在肿瘤全生命周期的研究和应用现状分析[J].中国数字医学,2025,20(8):85-91.
[30] 叶宇翃,李颖竹,尹蓓.基于CiteSpace的人工智能在乳腺癌中应用现状与热点可视化分析[J].现代医学,2025,53(6):972-980.

服务与反馈：

【文章下载】【发表评论】【查看评论】【加入收藏】

提示：您还未登录，请登录！点此登录