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2017 IEEE Journal of Biomedical and Health Informatics validation of transfer function.pdf (1.1 MB)

Validation of an adaptive transfer function method to estimate the aortic pressure waveform

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journal contribution
posted on 2023-08-30, 14:34 authored by Yang Yao, Lisheng Xu, Yingxian Sun, Qiang Fu, Shuran Zhou, Dianning He, Yahui Zhang, Liang Guo, Dingchang Zheng
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.

History

Refereed

  • Yes

Volume

21

Issue number

6

Page range

1599-1606

Publication title

IEEE Journal of Biomedical and Health Informatics

ISSN

2168-2208

Publisher

IEEE

File version

  • Accepted version

Language

  • eng

Legacy posted date

2016-12-19

Legacy creation date

2016-12-08

Legacy Faculty/School/Department

ARCHIVED Faculty of Medical Science (until September 2018)

Note

(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works

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