Concept

Sinus bradycardia

Related publications (35)

Concealed abnormal atrial phenotype in patients with Brugada syndrome and no history of atrial fibrillation

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

Objectives The electrocardiogram (ECG) of patients with BrS in sinus rhythm might reflect intrinsic atrial electrical abnormalities independent from any previous atrial fibrillation (AF). Aim of this study is to investigate the presence of P-wave abnormali ...

Elsevier2018

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

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

ECG-derived Markers to Identify Patients Prone to Atrial Fibrillation

Jean-Marc Vesin, Adrian Luca, Sasan Yazdani

This study was undertaken to determine the ability of different markers extracted from single lead ECG recorded in sinus rhythm to identify patients prone to atrial fibrillation (AF). For this purpose, 5-minute ECGs recorded in sinus rhythm from two popula ...

2016

Cardio-Respiratory Characterization of the Autonomic Balance

Jean-Marc Vesin, Leila Mirmohamadsadeghi, Grégoire Millet

The autonomic balance is often measured using the low frequency~(LF) and high frequency~(HF) powers of the heart beat-to-beat intervals. However, these indices do not adequately integrate the influence of respiration and have been widely criticized. We stu ...

IEEE2016

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

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

RAS and LES Simulation of the supercritical flow over the waving bed.

Christophe Ancey, Joris Heyman, François Mettra, Hongbo Ma

The phenomena of bed forms exist widely in the natural rivers and are still not fully understood. The detailed sediment dynamics near the bed is essential for this problem. However, the fluid dynamics near the bed, which drives the sediment motion, is not ...

2013

A Multi-Lead ECG Classification Based on Random Projection Features

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

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

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