Publications associées à Personalized computational electro-mechanics simulations to optimize cardiac resynchronization therapy

Publications associées (9)

Active learning and margin strategies for arrhythmia classification in implantable devices

Background and Objectives: The massive storage of cardiac arrhythmic episodes from Implantable Cardioverter Defibrillators (ICD) and the advent of new artificial intelligence algorithms are opening up new opportunities for electrophysiological knowledge ex ...

2025

PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology

Alfio Quarteroni, Simone Deparis, Stefano Pagani, Riccardo Tenderini

In this work, we present a PDE-aware deep learning model for the numerical solution to the inverse problem of electrocardiography. The model both leverages data availability and exploits the knowledge of a physically based mathematical model, expressed by ...

2022

Heart Energy Harvesting and Cardiac Bioelectronics: Technologies and Perspectives

Massimo Mariello

Nanogenerators are a recently emerging technology which is able to cost-effectively harvest energy from renewable and clean energy sources at the micro/nano-scale. Their applications in the field of self-powered sensing systems and portable power supplying ...

MDPI2022

Conformable neural interfaces : from engineering stretchability at the micro-scale to translational applications

Florent-Valéry Coen

Recently, flexible and soft bioelectronic interfaces have been proposed as a solution to improve existing neural interfaces that currently present mechanical mismatch with the soft tissue. These are devices fabricated with thin polymeric or elastomeric bac ...

EPFL2022

Real-Time Probabilistic Heart Beat Classification and Correction for Embedded Systems

David Atienza Alonso, Srinivasan Murali, Francisco Javier Rincon Vallejos, Grégoire Casimir Joseph Surrel

With the emergence of wearable and non-intrusive med- ical devices, one major challenge is the real-time analysis of the acquired signals in real-life and ambulatory con- ditions. This paper presents a lightweight algorithm for on-line heart beat classific ...

2015

Suppression of the auditory N1-component for heartbeat-related sounds reflects interoceptive predictive coding

Olaf Blanke, Michiel van Elk, Lukas Heydrich

Although many studies have elucidated the neurocognitive mechanisms supporting the processing of externally generated sensory signals, less is known about the processing of interoceptive signals related to the viscera. Drawing a parallel with research on a ...

Elsevier Science Bv2014

Atrial septal pacing for the termination of atrial fibrillation: study in a biophysical model of human atria

Jean-Marc Vesin, Lukas Kappenberger, Laurent Renaud Uldry

Aims While successful termination by pacing of organized atrial tachycardias has been observed in patients, single site rapid pacing has not yet led to conclusive results for the termination of atrial fibrillation (AF). The purpose of this study was to eva ...

Oxford Univ Press2012

P-wave Indices to Detect Susceptibility to Atrial Fibrillation

Jean-Marc Vesin, Andréa Buttu

The aim of this work is to present different markers resulting from the analysis of a single ECG lead recorded during sinus rhythm. To this purpose, the ECGs from three populations were compared: healthy subjects, patients subject to paroxysmal AF selected ...

Ieee2011

Susceptibility to Paroxysmal Atrial Fibrillation: A Study using Sinus Rhythm P Wave Parameters

Jean-Marc Vesin, Lukas Kappenberger, Lam Dang

Early recognition of patients at high risk for atrial fibrillation may help to minimize potential health risks. The detection of susceptibility to develop atrial fibrillation is thus a real clinical challenge. Whereas many studies have used the signal-aver ...

2010