Computational Analysis of Hemodynamic Indices Based on Personalized Identification of Aortic Pulse Wave Velocity by a Neural Network

Computational Analysis of Hemodynamic Indices Based on Personalized Identification of Aortic Pulse Wave Velocity by a Neural Network

Adequate personalized numerical simulation of hemodynamic indices in coronary arteries requires accurate identification of the key parameters. Elastic properties of coronary vessels produce a significant effect on the accuracy of simulations. Direct measurements of the elasticity of coronary vessels...

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Bibliographic Details
Main Authors: Timur Gamilov, Fuyou Liang, Philipp Kopylov, Natalia Kuznetsova, Artem Rogov, Sergey Simakov
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
one-dimensional hemodynamics
synthetic population
pulse wave
machine learning
neural network
stenosis
Online Access:https://www.mdpi.com/2227-7390/11/6/1358

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