Publications related to Hemodynamics

ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm

David Atienza Alonso, Adriana Arza Valdes, Una Pale

This work presents ReBeatICG, a real-time, low-complexity beat-to-beat impedance cardiography (ICG) delineation algorithm that allows hemodynamic parameters monitoring. The proposed procedure relies only on the ICG signal compared to most algorithms found ...

2021

The effect of left ventricular contractility on arterial hemodynamics: A model-based investigation

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou

Ventricular-arterial coupling is a major determinant of cardiovascular performance, however, there are still inherent difficulties in distinguishing ventricular from vascular effects on arterial pulse phenotypes. In the present study, we employed an extens ...

PUBLIC LIBRARY SCIENCE2021

Acute and Long-Term Effects of Aortic Compliance Decrease on Central Hemodynamics: A Modeling Analysis

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou

Aortic compliance is an important determinant of cardiac afterload and a contributor to cardiovascular morbidity. In the present study, we sought to provide in silico insights into the acute as well as long-term effects of aortic compliance decrease on cen ...

FRONTIERS MEDIA SA2021

Hemodynamics of the heart's left atrium based on a Variational Multiscale-LES numerical method

Alfio Quarteroni, Filippo Menghini

In this paper, we investigate the haemodynamics of a left atrium (LA) by proposing a computational model suitable to provide physically meaningful fluid dynamics indications and detailed blood flow characterization. In particular, we consider the incompres ...

ELSEVIER2021

In vivo application and validation of a novel noninvasive method to estimate the end-systolic elastance

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou

Accurate assessment of the left ventricular (LV) systolic function is indispensable in the clinic. However, estimation of a precise index of cardiac contractility, i.e., the end-systolic elastance (E-es), is invasive and cannot be established as clinical r ...

2021

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

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou, Marija Lazaroska

Determination of left ventricular (LV) end-systolic elastance (E- es ) is of utmost importance for assessing the cardiac systolic function and hemodynamical state in humans. Yet, the clinical use of E- es is not established due to the invasive nature and h ...

FRONTIERS MEDIA SA2021

System and methods for real time noninvasive estimation of cardiovascular parameters

Nikolaos Stergiopoulos, Vasiliki Bikia, Stamatia Zoi Pagoulatou

Systems and methods are provided for that use noninvasively measured physiologic parameters to predict in real time noninvasively unobservable cardiovascular parameters by employing a one-dimensional arterial tree numerical model calibrated with representa ...

2021

Considerations for analysis of endothelial shear stress and strain in FSI models of atherosclerosis

Lydia Aslanidou, Fotios Savvopoulos

Atherosclerosis is a lipid driven chronic inflammatory disease that is characterized by the formation of plaques at predilection sites. These predilection sites (side branches, curved segments, and bifurcations) have often been associated with disturbed sh ...

ELSEVIER SCI LTD2021

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Hemodynamics

ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm

The effect of left ventricular contractility on arterial hemodynamics: A model-based investigation

Acute and Long-Term Effects of Aortic Compliance Decrease on Central Hemodynamics: A Modeling Analysis

Hemodynamics of the heart's left atrium based on a Variational Multiscale-LES numerical method

In vivo application and validation of a novel noninvasive method to estimate the end-systolic elastance

Model order reduction of flow based on a modular geometrical approximation of blood vessels

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

System and methods for real time noninvasive estimation of cardiovascular parameters

Non-invasive monitoring of key hemodynamical and cardiac parameters using physics-based modelling and artificial intelligence

Considerations for analysis of endothelial shear stress and strain in FSI models of atherosclerosis

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Chat with Graph Search

Acute and Long-Term Effects of Aortic Compliance Decrease on Central Hemodynamics: A Modeling Analysis

Hemodynamics of the heart's left atrium based on a Variational Multiscale-LES numerical method

Model order reduction of flow based on a modular geometrical approximation of blood vessels

ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm

The effect of left ventricular contractility on arterial hemodynamics: A model-based investigation

Non-invasive monitoring of key hemodynamical and cardiac parameters using physics-based modelling and artificial intelligence

In vivo application and validation of a novel noninvasive method to estimate the end-systolic elastance

System and methods for real time noninvasive estimation of cardiovascular parameters

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

Considerations for analysis of endothelial shear stress and strain in FSI models of atherosclerosis