Estimation of Left Ventricular End-Systolic Elastance From Brachial Pressure Waveform via Deep Learning

Estimation of Left Ventricular End-Systolic Elastance From Brachial Pressure Waveform via Deep Learning

Determination of left ventricular (LV) end-systolic elastance (Ees) is of utmost importance for assessing the cardiac systolic function and hemodynamical state in humans. Yet, the clinical use of Ees is not established due to the invasive nature and high costs of the existing measuring techniques. T...

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Bibliographic Details
Main Authors: Vasiliki Bikia, Marija Lazaroska, Deborah Scherrer Ma, Méline Zhao, Georgios Rovas, Stamatia Pagoulatou, Nikolaos Stergiopulos
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
cardiac monitoring
convolution neural networks
cardiovascular modelling
non-invasive
contractility
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2021.754003/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2021.754003/full

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