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

Hongming Sun, Yang Yao, Wenyan Liu, Shuran Zhou, Shuo Du, Junyi Tan, Yin Yu, Lisheng Xu*, Alberto Avolio

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
26 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number1097879
Pages (from-to)1-17
Number of pages17
JournalFrontiers in Physiology
Volume14
DOIs
Publication statusPublished - 2023

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • arterial stiffness
  • personalized flow waveform
  • triangular flow waveform
  • wave reflection
  • wave separation analysis

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