Determination of Aortic Characteristic Impedance and Total Arterial Compliance From Regional Pulse Wave Velocities Using Machine Learning: An in-silico Study

Determination of Aortic Characteristic Impedance and Total Arterial Compliance From Regional Pulse Wave Velocities Using Machine Learning: An in-silico Study

In-vivo assessment of aortic characteristic impedance (Zao) and total arterial compliance (CT) has been hampered by the need for either invasive or inconvenient and expensive methods to access simultaneous recordings of aortic pressure and flow, wall thickness, and cross-sectional area. In contrast,...

Full description

Bibliographic Details
Main Authors: Vasiliki Bikia, Georgios Rovas, Stamatia Pagoulatou, Nikolaos Stergiopulos
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
non-invasive monitoring
aorta
arterial stiffness
vascular aging
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2021.649866/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2021.649866/full

Similar Items