Publications related to Third-degree atrioventricular block

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Background and objective The automated detection of atrial activations (AAs) recorded from intracardiac electrograms (IEGMs) during atrial fibrillation (AF) is challenging considering their various amplitudes, morphologies and cycle length. Activation time ...

BMC2022

Arterial Wave Reflection and Aortic Valve Stenosis: Diagnostic Challenges and Prognostic Significance

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

IntroductionArterial wave reflection is an important component of the left ventricular afterload, affecting both pressure and flow to the aorta. The aim of the present study was to evaluate the impact of wave reflection on transvalvular pressure gradients ...

FRONTIERS MEDIA SA2022

Longitudinal interrogation of sympathetic neural circuits and hemodynamics in preclinical models

Grégoire Courtine, Quentin Barraud, Jordan Squair, Matthieu Pierre Gautier, Rémi Bernard René Hudelle, Suje Amir, Victor Perez Puchalt, Loïs Thomas Romain Mahe, Jan Elaine Cuevas Soriano

Neurological disorders, including spinal cord injury, result in hemodynamic instability due to the disruption of supraspinal projections to the sympathetic circuits located in the spinal cord. We recently developed a preclinical model that allows the ident ...

NATURE PORTFOLIO2022

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

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

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 ...

2021

Extensive Benchmarking of DFT+U Calculations for Predicting Band Gaps

Iurii Timrov

Accurate computational predictions of band gaps are of practical importance to the modeling and development of semiconductor technologies, such as (opto)electronic devices and photoelectrochemical cells. Among available electronic-structure methods, densi ...

2021

Modular Design and Optimization of Biomedical Applications for Ultra-Low Power Heterogeneous Platforms

David Atienza Alonso, Miguel Peon Quiros, Simone Machetti, Luca Benini, Benoît Walter Denkinger, Elisabetta De Giovanni, Fabio Montagna

In the last years, remote health monitoring is becoming an essential branch of health care with the rapid development of wearable sensors technology. To meet the demand of new more complex applications and ensuring adequate battery lifetime, wearable senso ...

2020

Modular Design and Optimization of Biomedical Applications for Ultralow Power Heterogeneous Platforms

David Atienza Alonso, Miguel Peon Quiros, Simone Machetti, Luca Benini, Benoît Walter Denkinger, Elisabetta De Giovanni, Fabio Montagna

In the last years, remote health monitoring is becoming an essential branch of health care with the rapid development of wearable sensors technology. To meet the demand of new more complex applications and ensuring adequate battery lifetime, wearable senso ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

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Changes to the structure and function of neural networks are thought to underlie the evolutionary adaptation of animal behaviours. Among the many developmental phenomena that generate change programmed cell death (PCD) appears to play a key role. We show t ...

2020

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm *

David Atienza Alonso, Jean-Marc Vesin, Lara Orlandic, Sasan Yazdani, Adriana Arza Valdes, Elisabetta De Giovanni

Wearable devices are an unobtrusive, cost-effective means of continuous ambulatory monitoring of chronic cardiovascular diseases. However, on these resource-constrained systems, electrocardiogram (ECG) processing algorithms must consume minimal power and m ...

2019

Computational fluid dynamics of blood flow in an idealized left human heart

Alfio Quarteroni, Filippo Menghini

We construct an idealized computational model of the left human heart for the study of the blood flow dynamics in the left atrium and ventricle. We solve the Navier-Stokes equations in the ALE formulation and we prescribe the left heart wall displacement b ...

WILEY2019

Third-degree atrioventricular block

Arterial Wave Reflection and Aortic Valve Stenosis: Diagnostic Challenges and Prognostic Significance

Longitudinal interrogation of sympathetic neural circuits and hemodynamics in preclinical models

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

Extensive Benchmarking of DFT+U Calculations for Predicting Band Gaps

Modular Design and Optimization of Biomedical Applications for Ultra-Low Power Heterogeneous Platforms

Modular Design and Optimization of Biomedical Applications for Ultralow Power Heterogeneous Platforms

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm *

Computational fluid dynamics of blood flow in an idealized left human heart

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

Arterial Wave Reflection and Aortic Valve Stenosis: Diagnostic Challenges and Prognostic Significance

Longitudinal interrogation of sympathetic neural circuits and hemodynamics in preclinical models

Extensive Benchmarking of DFT+U Calculations for Predicting Band Gaps

Modular Design and Optimization of Biomedical Applications for Ultralow Power Heterogeneous Platforms

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm *

Modular Design and Optimization of Biomedical Applications for Ultra-Low Power Heterogeneous Platforms

Computational fluid dynamics of blood flow in an idealized left human heart