Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform

doi:10.3389/fphys.2023.1097879

	Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform
	Sun, Hongming 1; Yao, Yang2 ; Liu, Wenyan 1; Zhou, Shuran 1; Du, Shuo 1; Tan, Junyi 1; Yu, Yin 1; Xu, Lisheng 1,3,4; Avolio, Alberto 5
	2023
发表期刊	FRONTIERS IN PHYSIOLOGY; (IF:3.2[JCR-2023],4.0[5-Year])
ISSN	1664-042X
EISSN	1664-042X
卷号	14
发表状态	已发表
DOI	10.3389/fphys.2023.1097879
摘要	Pulse wave reflections reflect cardiac afterload and perfusion, which yield valid indicators for monitoring cardiovascular status. Accurate quantification of pressure wave reflections requires the measurement of aortic flow wave. However, direct flow measurement involves extra equipment and well-trained operator. In this study, the personalized aortic flow waveform was estimated from the individual central aortic pressure waveform (CAPW) based on pressure-flow relations. The separated forward and backward pressure waves were used to calculate wave reflection indices such as reflection index (RI) and reflection magnitude (RM), as well as the central aortic pulse transit time (PTT). The effectiveness and feasibility of the method were validated by a set of clinical data (13 participants) and the Nektar1D Pulse Wave Database (4,374 subjects). The performance of the proposed personalized flow waveform method was compared with the traditional triangular flow waveform method and the recently proposed lognormal flow waveform method by statistical analyses. Results show that the root mean square error calculated by the personalized flow waveform approach is smaller than that of the typical triangular and lognormal flow methods, and the correlation coefficient with the measured flow waveform is higher. The estimated personalized flow waveform based on the characteristics of the CAPW can estimate wave reflection indices more accurately than the other two methods. The proposed personalized flow waveform method can be potentially used as a convenient alternative for the measurement of aortic flow waveform.
关键词	arterial stiffness personalized flow waveform triangular flow waveform wave reflection wave separation analysis
学科门类	Physiology ; Physiology (medical)
URL	查看原文
收录类别	SCOPUS ; SCI
语种	英语
资助项目	National Natural Science Foundation of China["62273082","61773110"] ; Natural Science Foundation of Liaoning Province["20170540312","2021-YGJC-14"] ; Basic Scientific Research Project (Key Project) of Liaoning Provincial Department of Education[LJKZ00042021] ; Fundamental Research Funds for the Central Universities[N2119008] ; Shenyang Science and Technology Plan Fund["21-104-1-24","20-201-4-10","201375"] ; Member Program of Neusoft Research of Intelligent Healthcare Technology, Co. Ltd.[MCMP062002]
WOS研究方向	Physiology
WOS类目	Physiology
WOS记录号	WOS:000946227000001
出版者	FRONTIERS MEDIA SA
原始文献类型	Article
Scopus 记录号	2-s2.0-85149824846
来源库	SCOPUS
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/286521
专题	信息科学与技术学院信息科学与技术学院_PI研究组_徐林组
通讯作者	Xu, Lisheng
作者单位	1.Northeastern Univ, Coll Med & Biol & Informat Engn, Shenyang, Peoples R China 2.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China 3.Minist Educ, Key Lab Med Image Comp, Shenyang, Peoples R China 4.Neusoft Res Intelligent Healthcare Technol Co Ltd, Shenyang, Peoples R China 5.Macquarie Univ, Fac Med Hlth & Human Sci, Macquarie Med Sch, Sydney, NSW, Australia
推荐引用方式 GB/T 7714	Sun, Hongming,Yao, Yang,Liu, Wenyan,et al. Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform[J]. FRONTIERS IN PHYSIOLOGY;,2023,14.
APA	Sun, Hongming.,Yao, Yang.,Liu, Wenyan.,Zhou, Shuran.,Du, Shuo.,...&Avolio, Alberto.(2023).Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform.FRONTIERS IN PHYSIOLOGY;,14.
MLA	Sun, Hongming,et al."Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform".FRONTIERS IN PHYSIOLOGY; 14(2023).