Bibliometric Analysis of Wearable Technology Studies in The Healtcare Industry

Esra Cengi̇z Tirpan, Tarık Semi̇z
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Abstract

In recent years, it has been observed that expectations from health services and investments in this field are primarily directed towards studies for the early detection of diseases, more effective monitoring of health conditions, and studies to increase the general quality of life and healthy lifestyle. This study aims to present a bibliometric analysis by examining wearable technology studies in medicine. For wearable technology studies in the medical field, analyzes were performed with 616 articles listed in the Scopus database. The VOSviewer software created an international cooperation network, co-citation author network, and common word network. According to the analysis results, it is seen that the publications are distributed between 1997-2022. The country that contributed the most to these 616 studies in the United States (USA), with 216 publications, followed by China and the United Kingdom. In addition, the USA ranks first among the cooperating countries with the highest connection strength and number of connections. The top contributing author is Najafi, B. Wang J. is the most cited author in the co-citation network author analysis. According to the results of the common word analysis, 5 clusters were formed, and after the most repeated words "wearable technologies" and "wearable technology" were removed, "physical activity" and "machine learning" respectively words. This study is an essential resource to present the current issues of wearable technology studies in the field of health and to examine research trends.
医疗保健行业可穿戴技术研究的文献计量学分析
近年来,人们注意到,对保健服务的期望和对这一领域的投资主要是针对早期发现疾病的研究,更有效地监测健康状况,以及提高总体生活质量和健康生活方式的研究。本研究旨在通过对医学可穿戴技术研究进行文献计量分析。对于医学领域的可穿戴技术研究,分析了Scopus数据库中列出的616篇文章。VOSviewer软件创建了国际合作网络、共引作者网络和通用词网络。根据分析结果可以看出,出版物分布在1997-2022年之间。对这616项研究贡献最多的国家是美国,发表了216篇论文,其次是中国和英国。此外,在合作国家中,美国以最高的连接强度和连接数量排名第一。贡献作者排名第一的是Najafi, B. Wang j是共被引网络作者分析中被引次数最多的作者。根据常用词分析的结果,形成5个聚类,在去掉重复次数最多的单词“wearable technologies”和“wearable technology”后,分别是“physical activity”和“machine learning”。这项研究是一个重要的资源,目前的问题,可穿戴技术在健康领域的研究和研究趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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