Central arterial pressure and patient-specific model parameter estimation based on radial pressure measurements
Dániel Gyürki,
Tamás Horváth,
Sára Till,
Attila Egri,
Csilla Celeng,
György Paál,
Béla Merkely,
Pál Maurovich-Horvat and
Gábor Halász
Computer Methods in Biomechanics and Biomedical Engineering, 2023, vol. 26, issue 11, 1320-1329
Abstract:
One-dimensional arterial flow simulations are suitable to estimate the aortic pressure from peripheral measurements in a patient-specific arterial network. This study introduces a reduction of the system parameters, and a novel calculation method to estimate the patient-specific set and the aortic curve based on radial applanation tonometry. Peripheral and aortic pressure curves were measured in patients, optimization were carried out. The aortic pressure curves were reproduced well, with an overestimation of the measured Systolic and Mean Blood Pressures on average by 0.6 and 0.5 mmHg respectively, and the Root Mean Square Difference of the curves was 3 mmHg on average.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:taf:gcmbxx:v:26:y:2023:i:11:p:1320-1329
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DOI: 10.1080/10255842.2022.2115292
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