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老年人步态和平衡的科学计量研究与批判性分析。

Scientometric Research and Critical Analysis of Gait and Balance in Older Adults.

机构信息

School of Design, The Hong Kong Polytechnic University, Hong Kong.

Department of Computer Science and Technology, Tsinghua University, Beijing 100190, China.

出版信息

Sensors (Basel). 2024 May 17;24(10):3199. doi: 10.3390/s24103199.

Abstract

Gait and balance have emerged as a critical area of research in health technology. Gait and balance studies have been affected by the researchers' slow follow-up of research advances due to the absence of visual inspection of the study literature across decades. This study uses advanced search methods to analyse the literature on gait and balance in older adults from 1993 to 2022 in the Web of Science (WoS) database to gain a better understanding of the current status and trends in the field for the first time. The study analysed 4484 academic publications including journal articles and conference proceedings on gait and balance in older adults. Bibliometric analysis methods were applied to examine the publication year, number of publications, discipline distribution, journal distribution, research institutions, application fields, test methods, analysis theories, and influencing factors in the field of gait and balance. The results indicate that the publication of relevant research documents has been steadily increasing from 1993 to 2022. The United States (US) exhibits the highest number of publications with 1742 articles. The keyword "elderly person" exhibits a strong citation burst strength of 18.04, indicating a significant focus on research related to the health of older adults. With a burst factor of 20.46, Harvard University has made impressive strides in the subject. The University of Pittsburgh displayed high research skills in the area of gait and balance with a burst factor of 7.7 and a publication count of 103. The research on gait and balance mainly focuses on physical performance evaluation approaches, and the primary study methods include experimental investigations, computational modelling, and observational studies. The field of gait and balance research is increasingly intertwined with computer science and artificial intelligence (AI), paving the way for intelligent monitoring of gait and balance in the elderly. Moving forward, the future of gait and balance research is anticipated to highlight the importance of multidisciplinary collaboration, intelligence-driven approaches, and advanced visualization techniques.

摘要

步态和平衡已成为健康技术研究的一个关键领域。由于几十年来一直缺乏对研究文献的视觉检查,因此步态和平衡研究受到了研究人员对研究进展的缓慢跟踪的影响。本研究首次使用先进的搜索方法,对 1993 年至 2022 年 Web of Science(WoS)数据库中关于老年人步态和平衡的文献进行分析,以更好地了解该领域的现状和趋势。该研究分析了包括老年步态和平衡期刊文章和会议论文在内的 4484 篇学术出版物。采用文献计量分析方法,考察了步态和平衡领域的发表年份、发文数量、学科分布、期刊分布、研究机构、应用领域、测试方法、分析理论和影响因素。结果表明,相关研究文献的发表量从 1993 年到 2022 年稳步增加。美国(US)发表的文章数量最多,为 1742 篇。关键词“老年人”的引文突发强度为 18.04,表明对与老年人健康相关的研究关注度很高。哈佛大学在该主题上的突现强度为 20.46,取得了令人瞩目的进展。匹兹堡大学在步态和平衡领域的研究技能较高,突现强度为 7.7,发文量为 103。步态和平衡的研究主要集中在身体机能评估方法上,主要研究方法包括实验研究、计算建模和观察研究。步态和平衡研究领域越来越与计算机科学和人工智能(AI)交织在一起,为老年人的步态和平衡智能监测铺平了道路。展望未来,步态和平衡研究的未来将强调多学科合作、智能驱动方法和先进可视化技术的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572a/11125350/515e1258b99e/sensors-24-03199-g001.jpg

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