Validation of an Adaptive Transfer Function Method to Estimate the Aortic Pressure Waveform

Yang Yao, Lisheng Xu, Yingxian Sun, Qiang Fu, Shuran Zhou, Dianning He, Yahui Zhang, Liang Guo, Dingchang Zheng

Research output: Contribution to journalArticle

2 Citations (Scopus)
2 Downloads (Pure)

Abstract

Aortic pulse wave reflects cardiovascular status, but, unlike the peripheral pulse wave, is difficult to be measured reliably using noninvasive techniques. Thus, the estimation of aortic pulse wave from peripheral ones is of great significance. This study proposed an adaptive transfer function (ATF) method to estimate the aortic pulse wave from the brachial pulse wave. Aortic and brachial pulse waves were derived from 26 patients who underwent cardiac catheterization. Generalized transfer functions (GTF) were derived based on the autoregressive exogenous model. Then, the GTF was adapted by its peak resonance frequency. And the optional peak resonance frequency for an individual was determined by regression formulas using brachial systolic blood pressure. The method was validated using the leave-one-out cross validation method. Compared with previous studies, the ATF method showed better performance in estimating the aortic pulse wave and predicting the feature parameters. The prediction error of the aortic systolic blood pressure and pulse pressure were 0.2 ± 3.1 and -0.9 ± 3.1 mmHg, respectively. The percentage errors of augmentation index, percentage notch amplitude, and ejection duration were -2.1 ± 32.7%, 12.4 ± 9.2%, and -2.4 ± 3.3%, respectively.
Original languageEnglish
Pages (from-to)1599 - 1606
Number of pages8
JournalIEEE Journal of Biomedical and Health Informatics
Volume21
Issue number6
Early online date6 Dec 2016
DOIs
Publication statusPublished - Nov 2017
Externally publishedYes

Bibliographical note

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Keywords

  • Adaptive transfer function (ATF)
  • Aortic pulse wave

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