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无袖带血压监测:学术见解与观点分析

Cuffless Blood Pressure Monitoring: Academic Insights and Perspectives Analysis.

作者信息

Li Shiyun, Zhang Can, Xu Zhirui, Liang Lihua, Tian Ye, Li Long, Wu Huaping, Zhong Sheng

机构信息

College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.

Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education and Zhejiang Province, Zhejiang University of Technology, Hangzhou 310023, China.

出版信息

Micromachines (Basel). 2022 Jul 30;13(8):1225. doi: 10.3390/mi13081225.

Abstract

In recent decades, cuffless blood pressure monitoring technology has been a point of research in the field of health monitoring and public media. Based on the web of science database, this paper evaluated the publications in the field from 1990 to 2020 using bibliometric analysis, described the developments in recent years, and presented future research prospects in the field. Through the comparative analysis of keywords, citations, H-index, journals, research institutions, national authors and reviews, this paper identified research hotspots and future research trends in the field of cuffless blood pressure monitoring. From the results of the bibliometric analysis, innovative methods such as machine learning technologies related to pulse transmit time and pulse wave analysis have been widely applied in blood pressure monitoring. The 2091 articles related to cuffless blood pressure monitoring technology were published in 1131 journals. In the future, improving the accuracy of monitoring to meet the international medical blood pressure standards, and achieving portability and miniaturization will remain the development goals of cuffless blood pressure measurement technology. The application of flexible electronics and machine learning strategy in the field will be two major development directions to guide the practical applications of cuffless blood pressure monitoring technology.

摘要

近几十年来,无袖血压监测技术一直是健康监测领域和大众媒体的研究热点。基于科学网数据库,本文运用文献计量分析方法对1990年至2020年该领域的出版物进行了评估,描述了近年来的发展情况,并展望了该领域未来的研究前景。通过对关键词、引文、H指数、期刊、研究机构、国家作者和综述的比较分析,本文确定了无袖血压监测领域的研究热点和未来研究趋势。从文献计量分析结果来看,与脉搏传输时间和脉搏波分析相关的机器学习技术等创新方法已在血压监测中得到广泛应用。与无袖血压监测技术相关的2091篇文章发表在1131种期刊上。未来,提高监测精度以符合国际医学血压标准,以及实现便携化和小型化仍将是无袖血压测量技术的发展目标。柔性电子学和机器学习策略在该领域的应用将是指导无袖血压监测技术实际应用的两个主要发展方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2db1/9415520/443b51c1059f/micromachines-13-01225-g002.jpg

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