2023
DOI: 10.1016/j.jbiomech.2023.111482
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Pulse wave velocity: A clinical measure to aid material parameter estimation in computational arterial biomechanics

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Cited by 3 publications
(2 citation statements)
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“…The parameters were determined based on a predefined value of the pulse wave velocity as proposed in Gheysen et al ( 2023 ), where the pulse wave velocity of a full factorial design of the Gasser-Ogden-Holzapfel (GOH) parameters, including collagen fiber dispersion, was calculated for a reference cylinder. A pulse wave velocity of 6 m/s was assumed, which is representative for the aortic stiffness in middle-aged humans and, thus, corresponds to the average age of dissection patients (Logghe et al 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…The parameters were determined based on a predefined value of the pulse wave velocity as proposed in Gheysen et al ( 2023 ), where the pulse wave velocity of a full factorial design of the Gasser-Ogden-Holzapfel (GOH) parameters, including collagen fiber dispersion, was calculated for a reference cylinder. A pulse wave velocity of 6 m/s was assumed, which is representative for the aortic stiffness in middle-aged humans and, thus, corresponds to the average age of dissection patients (Logghe et al 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…Beyond multi-omics approaches (95,130), cardiovascular modeling and artificial intelligencebased models have been used to generate large databases of virtual subjects. Combining computational databases with machine learning has been used to predict or estimate PWV from pulse wave analysis algorithms (131,132) or from the radial pressure wave measurement (133). It also holds promise for estimating the proximal aortic characteristic impedance and arterial compliance of the arterial system from regional PWV measurements (134).…”
Section: -140mentioning
confidence: 99%