Recherche

Afficher tous les résultats pour

Accueil

Personne

Jean-Marc Vesin

Cette personne a quitté l’EPFL

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (124)

Page 4 sur 7

A Multimodal Approach to Reduce False Arrhythmia Alarms in the Intensive Care Unit

Jean-Marc Vesin, Sasan Yazdani, Sibylle Fallet

As part of the 2015 PhysioNet/CinC Challenge, this work aims at lowering the number of false alarms, which are a persistent concern in the intensive care unit. The multimodal database consists of 1250 life-threatening alarm recordings, each categorized as ...

2015

A Comparative Study on Detecting Heart Beats in Photoplethysmography Signals in Presence of Various Cardiac Arrhythmias

Jean-Philippe Thiran, Jean-Marc Vesin

Cardiac arrhythmias present a significant global health concern. The advent of wearable devices utilizing photoplethysmography gives the opportunity to screen large populations, hence offering the potential for early detection of pathological rhythms and r ...

IEEE Computer Society2023

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

Measures of Right Atrial Organization as a Mean to Select Candidates for Sinus Rhythm Restoration by Catheter Ablation

Jean-Marc Vesin, Etienne Pruvot, Andréa Buttu

Stepwise catheter ablation (step-CA) can terminate long-standing persistent atrial fibrillation (LS-pAF) within the left atrium (LA) or may require additional right atrial (RA) ablation. Intracardiac organization indices such as AF cycle length (AFCL) have ...

2013

Analysis of electrocardiograms during atrial fibrillation

Jean-Marc Vesin, Vincent Jacquemet, Lukas Kappenberger

The research discussed in this article is motivated by the search for an optimal classification of the different types of atrial fibrillation (AF) on the basis of recorded atrial signals. This would facilitate the selection of an optimal therapy. This arti ...

2006

Extracting Atrial Activations from Intracardiac Signals during Atrial Fibrillation using Adaptive Mathematical Morphology

Jean-Marc Vesin, Etienne Pruvot, Sasan Yazdani, Andréa Buttu

The detection of intracardiac activities is a major issue in the processing of atrial fibrillation signals. we evaluate a method based on mathematical morphology with an adaptive structuring element in order to extract the atrial activations from intracard ...

2015

Adaptive tracking of EEG oscillations

Jean-Marc Vesin, Laurent Renaud Uldry, Cédric Duchene, Jérôme Sébastien Van Zaen, Yann Prudat

Neuronal oscillations are an important aspect of EEG recordings. These oscillations are supposed to be involved in several cognitive mechanisms. For instance, oscillatory activity is considered a key component for the top-down control of perception. Howeve ...

2010

Extraction of QRS fiducial points from the ECG using adaptive mathematical morphology

Jean-Marc Vesin, Sasan Yazdani

QRS complex detection in the electrocardiogram (ECG) has been extensively investigated over the last two decades. Still, some issues remain pending due to the diversity of QRS complex shapes and various perturbations, notably baseline drift. This is especi ...

Academic Press Inc Elsevier Science2016

Bayesian Feature Selection Applied In a P300 Brain- Computer Interface

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani, Ulrich Hoffmann

Feature selection is a machine learning technique that has many interesting applications in the area of brain- computer interfaces (BCIs). Here we show how automatic relevance determination (ARD), which is a Bayesian feature selection technique, can be app ...

2008

Sleep Apnea Detection using Features from the Respiration and the ECG recorded with Smart-Shirts

Jean-Marc Vesin, Grégoire Millet, Andréa Buttu, Leila Mirmohamadsadeghi, Sibylle Fallet

The automatic detection of sleep apnea episodes, without the need of polysomnography and outside a clinical facility, could help facilitate the diagnosis of this disorder. In this work, features to detect sleep apnea events were computed from respiration a ...

2014

Dynamics of Intraprocedural Dominant Frequency Identifies Ablation Outcome in Persistent Atrial Fibrillation

Jean-Marc Vesin, Etienne Pruvot, Andréa Buttu, Adrian Luca

Background: The role of dominant frequency (DF) in tracking the efficiency of a stepwise catheter ablation (step-CA) in persistent atrial fibrillation (peAF) remains poorly studied. We hypothesized that the DF time-course during step-CA displays divergent ...

2021

OCULAR ARTIFACT REMOVAL FROM EEG: A COMPARISON OF SUBSPACE PROJECTION AND ADAPTIVE FILTERING METHODS

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani, Eleni Kroupi

One of the fundamental challenges in EEG signal processing is the selection of a proper method to correct ocular artifacts in the recorded electroencephalogram (EEG). Several methods have been proposed for this task. Among these methods, two main categorie ...

2011

Abnormal Cardiac Rhythm Detection Based on Photoplethysmography Signals and a Recurrent Neural Network

Jean-Philippe Thiran, Jean-Marc Vesin

Wearable devices based on photoplethysmography (PPG) allow for the screening of large populations at risk of cardiovascular disease. While PPG has shown the ability to discriminate atrial fibrillation (AF)-the most common cardiac arrhythmia (CA)-versus nor ...

IEEE Computer Society2023

Study of the effect of rapid pacing of atrial fibrillation on the non-paced atrium

Jean-Marc Vesin, Lukas Kappenberger, Laurent Renaud Uldry

Purpose: Experimental studies showed that local capture of atrial fibrillation (AF) by rapid pacing was possible in humans. However, contradictory observations were reported on its effect at distant atrial sites. The present model-based study investigated ...

2011

Adaptive Mathematical Morphology for QRS Fiducial Points Detection in the ECG

Jean-Marc Vesin, Sasan Yazdani

Fixed structure Mathematical Morphology (MM) operators have been used to detect QRS complexes in the ECG. These schemes are limited by the arbitrary setting of threshold values. Our study aims at extracting QRS complex fiducial points using MM with an adap ...

2014

A New Method for ECG Tracking of Persistent Atrial Fibrillation Termination during Stepwise Ablation

Jean-Marc Vesin, Andréa Buttu, Jérôme Sébastien Van Zaen, Etienne Pruvot, Alain Manuel Viso Rocha

Stepwise radiofrequency catheter ablation (step-CA) has become the treatment of choice for the restoration of sinus rhythm (SR) in patients with long-standing persistent atrial fibrillation (pers-AF). Its success rate appears limited as the amount of ablat ...

2011

Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals

Pierre Vandergheynst, Jean-Marc Vesin, Rémi Gribonval

We propose a new method for ventricular cancellation and atrial modelling in the ECG of patients suffering from atrial fibrillation. Our method is based on dictionary learning. It extends both the average beat subtraction and the sparse source separation a ...

2009

Contribution of Left and Right Atrial Appendage Activities to ECG Fibrillation Waves

Jean-Marc Vesin, Andréa Buttu, Etienne Pruvot

It was recently shown that atrial fibrillation (AF) waves on chest lead V1 adequately reflect right atrial appendage (RAA) activity during long standing persistent AF (pers-AF). The contribution of the left atrial (LA) activity to chest leads AF waves, how ...

2012

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

The Impact of Expertise on Brain Computer Interface Based Salient Image Retrieval

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani

Autonomous decision making modules in computer vision application allow recognition and classification of different objects, persons, and events in images and video sequences and also make it possible to classify different sensor readings (e.g. images) acc ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010