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Jean-Marc Vesin

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Publications associées (127)

Optimization of antitachycardia pacing protocols applied to atrial fibrillation: insights from a biophysical model

Jean-Marc Vesin, Lukas Kappenberger, Laurent Renaud Uldry

We present a model-based systematic study of antitachycardia pacing protocols applied to atrial fibrillation, focusing on the ability to achieve and maintain capture during pacing, as a function of both pacing site and period. We observed that pacing sites ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

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

The Role of Atrial Modeling in the Development of ECG Processing Tools

Vincent Jacquemet, Jean-Marc Vesin, Lukas Kappenberger, Mathieu Lemay, Laurent Renaud Uldry, Cédric Duchene

The standard ECG remains the most common non-invasive tool for assessing atrial fibrillation. Specific signal processing techniques have been developed to improve the diagnosis. However, validation of such tools is challenging and comprehensive invasive da ...

2009

Spontaneous termination of atrial fibrillation: study of the effect of atrial geometry in a biophysical model

Vincent Jacquemet, Jean-Marc Vesin, Lukas Kappenberger, Laurent Renaud Uldry

We studied the mechanisms of spontaneous termination of atrial fibrillation in a biophysical model of human atria, during the eight seconds preceding termination. The earliest detectable changes in the cycle length and the number of wavefronts occurred abo ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Computers in Cardiology / Physionet Challenge 2009: Predicting Acute Hypotensive Episodes

Jean-Marc Vesin, Florian Jousset, Mathieu Lemay

The goal of the Computers in Cardiology / Physionet Challenge 2009 is to predict which patients will experience acute hypotensive episode within a forecast window of one hour. In our study, statistically robust features extracted from the supplied training ...

2009

Adaptive Multiple Frequency Tracking Algorithm: Detection of Stable Atrial Fibrillation Sources from Standard 12-Lead ECG

Vincent Jacquemet, Jean-Marc Vesin, Mathieu Lemay, Cédric Duchene

The detection of stable atrial fibrillation (AF) sources remains one of the major challenges in the AF management. In this study, we investigated the feasibility of detecting stable AF sources from (non invasive) data simulated by means of numerical proced ...

2009

Adaptive Multiple Frequency Tracking Algorithm used to Detect Stable Atrial Fibrillation Sources from standard 12-lead ECG

Jean-Marc Vesin, Mathieu Lemay, Cédric Duchene

2009

Development of a toolbox for electrocardiogram-based interpretation of atrial fibrillation

Jean-Marc Vesin, Lukas Kappenberger, Mathieu Lemay

Elsevier2009

Predicting Acute Hypotensive Episodes

Jean-Marc Vesin, Florian Jousset, Mathieu Lemay

The goal of the challenge 2009 is to predict which patients will experience acute hypotensive episode (AHE) within a forecast window. AHE may result in dangerous complications and even death. Predicting the onset of AHE would be of clear benefit to a patie ...

2009

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

Jean-Marc Vesin, Pierre Vandergheynst, 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

An efficient P300-based brain-computer interface for disabled subjects

Touradj Ebrahimi, Jean-Marc Vesin, Ulrich Hoffmann

A brain-computer interface (BCI) is a communication system that translates brain-activity into commands for a computer or other devices. In other words, a BCI allows users to act on their environment by using only brain-activity, without using peripheral n ...

2008

Bayesian Feature Selection Applied In a P300 Brain- Computer Interface

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

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

Adaptive tracking of multiple EEG oscillations in single-trial data

Jean-Marc Vesin, Yann Prudat, Reto Meuli, Laurent Renaud Uldry, Cédric Duchene, Micah Murray

2008

Quasi-Periodic Atrial Activity Components in the ECG Used to Discriminate between Paroxysmal and Chronic Atrial Fibrillation

Lam Dang, Jean-Marc Vesin, Mathieu Lemay

IEEE2008

Adaptive Frequency Tracking on the ECG Used to Predict the Success of Electrical Cardioversion of Atrial Fibrillation

Jean-Marc Vesin, Yann Prudat, Mathieu Lemay, Frank Grégoire Jean de Morsier

One of the rhythm control strategies in atrial fibrillation management consists in the application of a brief single electrical shock to the atria. This electrical cardioversion does not always succeed, and the long-term success of this therapy is not suff ...

IEEE2008

Extraction of audio features specific to speech production for multimodal speaker detection

Murat Kunt, Jean-Marc Vesin, Jean-Philippe Thiran, Vlad Popovici, Patricia Besson

A method that exploits an information theoretic framework to extract optimized audio features using video information is presented. A simple measure of mutual information (MI) between the resulting audio and video features allows the detection of the activ ...

2008

Phase-Rectified Signal Averaging Used to Estimate the Dominant Frequencies in ECG Signals During Atrial Fibrillation

Vincent Jacquemet, Jean-Marc Vesin, Yann Prudat, Mathieu Lemay

2008

Cancellation of Ventricular Activity in the ECG: Evaluation of novel and existing methods

Vincent Jacquemet, Jean-Marc Vesin, Lukas Kappenberger, Mathieu Lemay

2007

Phase-Rectified Signal Averaging. A useful Tool for the Estimation of the Dominant Frequency in ECG Signals during Atrial Fibrillation

Vincent Jacquemet, Jean-Marc Vesin, Yann Prudat, Mathieu Lemay

2007

Photorheology of Fast UV Curing Multifunctional Acrylates

Yves Leterrier, Jean-Marc Vesin, Lars Schmidt

2006

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