AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals

AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals

Left ventricular end-systolic elastance (Ees) is a major determinant of cardiac systolic function and ventricular-arterial interaction. Previous methods for the Ees estimation require the use of the echocardiographic ejection fraction (EF). However, given that EF expresses the stroke volume as a fra...

Full description

Bibliographic Details
Main Authors: Vasiliki Bikia, Dionysios Adamopoulos, Stamatia Pagoulatou, Georgios Rovas, Nikolaos Stergiopulos
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Artificial Intelligence
Subjects:
cardiac monitoring
contractility
heart
noninvasive
regression analysis
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.579541/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2021.579541/full

Similar Items