Ultrasound-based method for individualized estimation of central aortic blood pressure from flow velocity and diameter

Zhou, Shuran; Xu, Lisong; Liu, Wenyan; Jun, Yang; Wang, Junli; Hao, Liling; Wang, Lu; Xu, Lisheng; Avolio, Alberto

doi:10.1016/j.compbiomed.2022.105254

Cited by 4 publications

(1 citation statement)

References 41 publications

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“…Flow waveforms were calculated by multiplying flow velocity waveforms with the aorta's cross-sectional area (π × (diameter/2) 2 ). In the study of Zhou et al, the specifics of data collection are presented (Zhou et al, 2022).…”

Section: Clinical Datamentioning

confidence: 99%

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

Sun

Yang²,

Liu³

et al. 2023

Front. Physiol.

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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.

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Section: Clinical Datamentioning

confidence: 99%