Publications associées à Heart Rhythm Classification using Short-term ECG Atrial and Ventricular Activity Analysis

Publications associées (15)

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

A comprehensive mathematical model for cardiac perfusion

Alfio Quarteroni, Francesco Regazzoni, Christian Vergara

The aim of this paper is to introduce a new mathematical model that simulates myocardial blood perfusion that accounts for multiscale and multiphysics features. Our model incorporates cardiac electrophysiology, active and passive mechanics, hemodynamics, v ...

Nature Portfolio2023

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

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

Nikolaos Stergiopoulos, Vasiliki Bikia, Georgios Rovas, 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 ...

2021

POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium

Alfio Quarteroni, Andrea Manzoni

The numerical simulation of multiple scenarios easily becomes computationally prohibitive for cardiac electrophysiology (EP) problems if relying on usual high-fidelity, full order models (FOMs). Likewise, the use of traditional reduced order models (ROMs) ...

FRONTIERS MEDIA SA2021

Embedding Mobile Health Technology into the Nurses' Health Study 3 to Study Behavioral Risk Factors for Cancer

Christine Choirat

Background: Physical activity and sleep are behavioral risk factors for cancer that may be influenced by environmental exposures, including built and natural environments. However, many studies in this area are limited by residence-based exposure assessmen ...

2020

Study of the impact of electrical heterogeneities in the right and left atrium on atrial fibrillation perpetuation

Jean-Marc Vesin, Vincent Jacquemet, Adrian Luca

Introduction: Electrical heterogeneity in the atria has been consistently linked with the initiation and perpetuation of atrial fibrillation (AF). The present model-based study investigated the contribution of action potential duration (APD) heterogeneitie ...

Oxford Univ Press2016

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

Impact Of Conduction Velocity On Local Capture Of Atrial Fibrillation Induced By Rapid Pacing

Jean-Marc Vesin, Adrian Luca, Alexandru Rusu

Karger2015

Early Classification of Pathological Heartbeats on Wireless Body Sensor Nodes

David Atienza Alonso, Giovanni Ansaloni, Ruben Braojos Lopez, Ivan Beretta

Smart Wireless Body Sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-powered devices allowing the continuous monitoring and real-time interpretation of a subject's bio-signals, such as the electrocardiogram (ECG). These low-power platforms, w ...

MDPI2014

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

Melanocyte-like cells in the heart and pulmonary veins contribute to atrial arrhythmia triggers

Friedrich Beermann, Fang Liu

Atrial fibrillation is the most common clinical cardiac arrhythmia. It is often initiated by ectopic beats arising from the pulmonary veins and atrium, but the source and mechanism of these beats remains unclear. The melanin synthesis enzyme dopachrome tau ...

American Society for Clinical Investigation2009

The effect of pacing site and frequency on capture of atrial fibrillation observed in a biophysical model

Jean-Marc Vesin, Lukas Kappenberger, Laurent Renaud Uldry

2009