Publications de Yann Prudat | EPFL Graph Search

Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation

Jean-Marc Vesin, Yann Prudat, Etienne Pruvot, Sasan Yazdani, Adrian Luca

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

Measures of spatiotemporal organization differentiate persistent from long-standing atrial fibrillation

Jean-Marc Vesin, Yann Prudat, Lukas Kappenberger, Laurent Renaud Uldry, Jérôme Sébastien Van Zaen

This study presents an automatic diagnostic method for the discrimination between persistent and long-standing atrial fibrillation (AF) based on the surface electrocardiogram (ECG). Standard 12-lead ECG recordings were acquired in 53 patients with either p ...

Oxford Univ Press2012

Adaptive tracking of EEG oscillations

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

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

Adaptive frequency tracking and application to biomedical signals

Yann Prudat

The main information of a signal resides in its frequency, its amplitude (or its power) and in their temporal evolution. Thus, a great number of methods for instantaneous frequency estimation have been proposed in the literature. Most of these algorithms u ...

EPFL2009

Multi-signal extension of adaptive frequency tracking algorithms

Jean-Marc Vesin, Yann Prudat

Adaptive tracking of sinusoidal signal components with time-varying amplitudes and frequencies presents a great interest in many engineering applications. In many cases, the frequency components of interest are present in more than one signal. So we propos ...

2009

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

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

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

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