Personalized aortic pressure waveform estimation from brachial pressure waveform using an adaptive transfer function

Du, Shuo; Xu, Lisong; Sun, Guozhe; Wang, Lu; Alastruey, Jordi; Avolio, Alberto; Xu, Lisheng

doi:10.1016/j.compbiomed.2023.106654

Computers in Biology and Medicine

2023

DOI: 10.1016/j.compbiomed.2023.106654

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Personalized aortic pressure waveform estimation from brachial pressure waveform using an adaptive transfer function

Shuo Du

Lisong Xu

Guozhe Sun

et al.

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Cited by 2 publications

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“…As a means for remedying the defect of the GTF method, an adaptive transfer function (ATF) method was developed and proven capable of improving the estimation accuracy for aortic diastolic and pulse pressures in a recent study. 22 In another study, 23 a method of personalizing the transfer function by estimating the wave transit time (Δt) between the aorta and the occluded brachial artery lumen under a suprasystolic brachial cuff was proposed. In the method, Δt was estimated based on the characteristics of the suprasystolic cuff oscillation wave, specifically the two peaks in the systolic phase.…”

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confidence: 99%

Optimization and validation of a suprasystolic brachial cuff‐based method for noninvasively estimating central aortic blood pressure

Zhang,

Wang,

Yin

et al. 2024

Numer Methods Biomed Eng

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Clinical studies have extensively demonstrated that central aortic blood pressure (CABP) has greater clinical significance in comparison with peripheral blood pressure. Despite the existence of various techniques for noninvasively measuring CABP, the clinical applications of most techniques are hampered by the unsatisfactory accuracy or large variability in measurement errors. In this study, we proposed a new method for noninvasively estimating CABP with improved accuracy and reduced uncertain errors. The main idea was to optimize the estimation of the pulse wave transit time from the aorta to the occluded lumen of the brachial artery under a suprasystolic cuff by identifying and utilizing the characteristic information of the cuff oscillation wave, thereby improving the accuracy and stability of the CABP estimation algorithms under various physiological conditions. The method was firstly developed and verified based on large‐scale virtual subject data (n = 800) generated by a computational model of the cardiovascular system coupled to a brachial cuff, and then validated with small‐scale in vivo data (n = 34). The estimation errors for the aortic systolic pressure were −0.05 ± 0.63 mmHg in the test group of the virtual subjects and −1.09 ± 3.70 mmHg in the test group of the patients, both demonstrating a good performance. In particular, the estimation errors were found to be insensitive to variations in hemodynamic conditions and cardiovascular properties, manifesting the high robustness of the method. The method may have promising clinical applicability, although further validation studies with larger‐scale clinical data remain necessary.

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mentioning

confidence: 99%

Optimization and validation of a suprasystolic brachial cuff‐based method for noninvasively estimating central aortic blood pressure

Zhang,

Wang,

Yin

et al. 2024

Numer Methods Biomed Eng

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Is It Feasible to Reconstruct Aortic Pressure Waveform Based on a One-Dimensional Uniform Model of the Arterial Tree?

Hao

2023

Journal of Engineering and Science in Medical Diagnostics and Therapy

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Based on a 1D uniform model of the arterial tree, various machine-learning techniques have been explored to reconstruct aortic pressure waveform (APW) from peripheral pressure waveform (PPW). This study aims to examine the feasibility of such reconstruction. Based on a 1D uniform vibrating-string model, transfer function (TF) of PPW to APW contains four harmonics-dependent parameters: value and phase of reflection coefficient (i.e., load impedance) at periphery and transmission parameter and transmission loss in the aorta-periphery section, and they are all harmonics-dependent. Pressure waveforms and blood velocity waveforms at the ascending aorta (AA), the carotid artery (CA), and the radial artery (RA) at different ages in a database are analyzed to calculate 1) reflection coefficient at the CA and the RA as two peripheries, 2) TF for the AA-CA and AA-RA sections, and 3) transmission parameter and transmission loss in the two sections. Harmonics-dependence of the four parameters varies with aging for both sections, revealing unpracticality of any mathematical model for harmonics-dependence of load impedance. Compared with fluid-loading, arterial non-uniformity significantly affects wave transmission. Transmission loss dramatically alters reconstructed APW, relative to higher harmonics. A 1D uniform model allows accurate reconstruction of APW from PPW, with a caveat that baseline values for the four parameters at different harmonics under different cardiovascular (CV) conditions need to be established a priori. Alternatively, based on the baseline values, PPW can be directly utilized for inferring the CV conditions.

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Personalized aortic pressure waveform estimation from brachial pressure waveform using an adaptive transfer function

Cited by 2 publications

References 41 publications

Optimization and validation of a suprasystolic brachial cuff‐based method for noninvasively estimating central aortic blood pressure

Optimization and validation of a suprasystolic brachial cuff‐based method for noninvasively estimating central aortic blood pressure

Is It Feasible to Reconstruct Aortic Pressure Waveform Based on a One-Dimensional Uniform Model of the Arterial Tree?

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