Publications associées à Sinus tachycardia

Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation

Atrial fibrillation (AF) is the most common cardiac arrhythmia; it will affect one in four adults worldwide in their lifetime. AF has serious consequences, including drastically increased risk of stroke. Catheter ablation surgery is an established treatmen ...

EPFL2023

Association of Heart Rate Variability With Silent Brain Infarcts in Patients With Atrial Fibrillation

Jean-Marc Vesin, Vincent Schlageter

Purpose: Silent brain infarcts (SBI) are frequently detected in patients with atrial fibrillation (AF), but it is unknown whether SBI are linked to autonomic dysfunction. We aimed to explore the association of autonomic dysfunction with SBI in AF patients. ...

FRONTIERS MEDIA SA2021

A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation

Alfio Quarteroni, Andrea Manzoni

In the context of cardiac electrophysiology, we propose a novel computational approach to highlight and explain the long-debated mechanisms behind atrial fibrillation (AF) and to reliably numerically predict its induction and sustainment. A key role is pla ...

FRONTIERS MEDIA SA2021

ECG-Based Indices to Characterize Persistent Atrial Fibrillation Before and During Stepwise Catheter Ablation

Jean-Marc Vesin, Adrian Luca, Etienne Pruvot

Background: Consistently successful patient outcomes following catheter ablation (CA) for treatment of persistent atrial fibrillation (pers-AF) remain elusive. We propose an electrocardiogram (ECG) analysis designed to (1) refine selection of patients most ...

2021

Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications

Alfio Quarteroni, Andrea Manzoni, Luca Dede', Stefano Pagani

BACKGROUND The isthmus of ventricular tachycardia (VT) circuits has been extensively characterized. Few data exist regarding the contribution of the outer loop (OL) to the VT circuit. OBJECTIVE The purpose of this study was to characterize the electrophysi ...

2020

Heart Rate Variability Triangular Index as a Predictor of Cardiovascular Mortality in Patients With Atrial Fibrillation

Jean-Marc Vesin, Vincent Schlageter

Background Impaired heart rate variability (HRV) is associated with increased mortality in sinus rhythm. However, HRV has not been systematically assessed in patients with atrial fibrillation (AF). We hypothesized that parameters of HRV may be predictive o ...

2020

Severe and uniform bi-atrial remodeling measured by dominant frequency analysis in persistent atrial fibrillation unresponsive to ablation

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

Background High values of ECG and intracardiac dominant frequency (DF) are indicative of significant atrial remodeling in persistent atrial fibrillation (peAF). We hypothesized that patients with peAF unresponsive to ablation display higher ECG and intraca ...

2020

Mapping Biological Current Densities With Ultrafast Acoustoelectric Imaging: Application to the Beating Rat Heart

Pierre-Marc Jean Marie Dansette

Ultrafast acoustoelectric imaging (UAI) is a novel method for the mapping of biological current densities, which may improve the diagnosis and monitoring of cardiac activation diseases such as arrhythmias. This paper evaluates the feasibility of performing ...

Institute of Electrical and Electronics Engineers2019

Can one detect atrial fibrillation using a wrist-type photoplethysmographic device?

Jean-Marc Vesin, Célestin Leupi, Mathieu Lemay, Sibylle Fallet, Etienne Pruvot, Philippe Renevey

This study aims at evaluating the potential of a wrist-type photoplethysmographic (PPG) device to discriminate between atrial fibrillation (AF) and other types of rhythm. Data from 17 patients undergoing catheter ablation of various arrhythmias were proces ...

SPRINGER HEIDELBERG2019

Usefulness of P-Wave Duration and Morphologic Variability to Identify Patients Prone to Paroxysmal Atrial Fibrillation

Jean-Marc Vesin, Adrian Luca, Sasan Yazdani, Lukas Kappenberger

Few data are available on the assessment of P-wave beat-to-beat morphology variability and its ability to identify patients prone to paroxysmal atrial fibrillation (AF) occurrence. Aim of this study was to determine whether electrocardiographic (ECG) param ...

Excerpta Medica Inc-Elsevier Science Inc2017

Hierarchical Cardiac-Rhythm Classification Based on Electrocardiogram Morphology

David Atienza Alonso, Amir Aminifar, Elisabetta De Giovanni, Dionisije Sopic

Atrial Fibrillation (AF) is a type of cardiac arrhythmia that significantly increases the risk of stroke and heart failure. In general, in the case of patients affected by AF, their electrocardiogram (ECG) shows a typical pattern of irregular RR intervals ...

2017

Nonlinear analysis of right atrial electrograms predicts termination of persistent atrial fibrillation within the left atrium by catheter ablation

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

The termination of long-standing persistent atrial fibrillation (LS-pAF) can be achieved by stepwise catheter ablation (step-CA) within the left atrium (LA). Our study aims to applying complexity measures derived from nonlinear time series analysis in orde ...

Institute of Physics2016

False arrhythmia alarms reduction in the intensive care unit: a multimodal approach

Jean-Marc Vesin, Sasan Yazdani, Sibylle Fallet

The purpose of this study was to develop algorithms to lower the incidence of false arrhythmia alarms in the ICU using information from independent sources, namely electrocardiogram (ECG), arterial blood pressure (ABP) and photoplethysmogram (PPG). Our app ...

Institute of Physics2016

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

Intermittent Atrial Tachycardia Promotes Repolarization Alternans and Conduction Slowing During Rapid Rates, and Increases Susceptibility to Atrial Fibrillation in a Free-Behaving Sheep Model

Jean-Marc Vesin, Florian Jousset, Etienne Pruvot

Repolarization Alternans and Atrial Remodeling Introduction Paroxysmal atrial fibrillation (AF) may be triggered by intermittent atrial tachycardia, and ultimately lead to persistent AF. However, the mechanisms by which intermittent atrial tachycardia prom ...

Wiley-Blackwell2014

A Quality-Scalable and Energy-Efficient Approach for Spectral Analysis of Heart Rate Variability

David Atienza Alonso, Andreas Peter Burg, Georgios Karakonstantis, Mohamed Mostafa Sabry Aly, Aviinaash Sankaranarayanan

Today there is a growing interest in the integration of health monitoring applications in portable devices necessitating the development of methods that improve the energy efficiency of such systems. In this paper, we present a systematic approach that ena ...

IEEE2014

Adaptive frequency tracking of the baseline ECG identifies the site of atrial fibrillation termination by catheter ablation

Jean-Marc Vesin, Andréa Buttu, Jérôme Sébastien Van Zaen, Etienne Pruvot

Multiple organization indices have been used to predict the outcome of stepwise catheter ablation in long-standing persistent atrial fibrillation (AF), however with limited success. Our study aims at developing innovative organization indices from baseline ...

Elsevier Sci Ltd2013

A Multi-Lead ECG Classification Based on Random Projection Features

David Atienza Alonso, Francisco Javier Rincon Vallejos, Iva Bogdanova Vandergheynst

This paper presents a novel method for classification of multilead electrocardiogram (ECG) signals. The feature extraction is based on the random projection (RP) concept for dimensionality reduction. Furthermore, the classification is performed by a neuro- ...

IEEE Press2012

A Multi-Lead Ecg Classification Based On Random Projection Features

David Atienza Alonso, Iva Bogdanova Vandergheynst, Francisco Javier Rincon Vallejos

This paper presents a novel method for classification of multi-lead electrocardiogram (ECG) signals. The feature extraction is based on the random projection (RP) concept for dimensionality reduction. Furthermore, the classification is performed by a neuro ...

IEEE Press2012

Termination of atrial fibrillation by catheter ablation can be successfully predicted from baseline ECG

Jean-Marc Vesin, Andréa Buttu, Jérôme Sébastien Van Zaen, Etienne Pruvot

Purpose Multiple organization indices (OIs) have been used to predict the outcome of stepwise catheter ablation (step-CA) in long-standing persistent AF (pers-AF), however with limited success. Our study aims at developing innovative OIs from baseline (BL, ...

2012