Publications related to Signal-averaged electrocardiogram

A modular low-complexity ECG delineation algorithm for real-time embedded systems

David Atienza Alonso, Francisco Javier Rincon Vallejos, Roman Hermida Correa

This work presents a new modular and lowcomplexity algorithm for the delineation of the different ECG waves (QRS, P and T peaks, onsets and end). Involving a reduced number of operations per second and having a small memory footprint, this algorithm is int ...

2018

A Novel Short-term Event Extraction Algorithm for Biomedical Signals

Jean-Marc Vesin, Sasan Yazdani, Sibylle Fallet

In this paper we propose a fast novel non-linear filtering method named Relative-Energy (Rel-En), for robust short-term event extraction from biomedical signals. We developed an algorithm that extracts short- and long-term energies in a signal and provides ...

2018

Sampling and Exact Reconstruction of Pulses with Variable Width

Martin Vetterli, Adam James Scholefield, Loïc Arnaud Baboulaz, Gilles Baechler

Recent sampling results enable the reconstruction of signals composed of streams of fixed-shaped pulses. These results have found applications in topics as varied as channel estimation, biomedical imaging and radio astronomy. However, in many real signals, ...

Institute of Electrical and Electronics Engineers2017

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

A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset

David Atienza Alonso, Jean-Marc Vesin, Amir Aminifar, Adrian Luca, Sasan Yazdani, Elisabetta De Giovanni

In spite of the progress in management of Atrial Fibrillation (AF), this arrhythmia is one of the major causes of stroke and heart failure. The progression of this pathology from a silent paroxysmal form (PAF) into a sustained AF can be prevented by predic ...

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

Prediction of Atrial Fibrillation Termination by Catheter Ablation Using Adaptive Frequency Tracking of Atrial ECG Signal

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

Our study aims at determining whether the efficiency of step-wise catheter ablation (step-CA) of persistent atrial fibrillation (pAF) can be tracked using organization indices based on the harmonic components of atrial ECG signals until pAF termination. EC ...

2016

Subject-Independent Odor Pleasantness Classification Using Brain and Peripheral Signals

Touradj Ebrahimi, Jean-Marc Vesin, Eleni Kroupi

Enhanced sensation of reality from multimedia contents can be achieved by creating realistic multimedia environments, using visual, auditory, and olfactory information. Although the affective information from video and audio has been extensively studied, t ...

Ieee-Inst Electrical Electronics Engineers Inc2016

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Signal-averaged electrocardiogram

A modular low-complexity ECG delineation algorithm for real-time embedded systems

Impact of individual differences in glucocorticoid adaptation to stress on behavior, neurophysiology and metabolism

A Novel Short-term Event Extraction Algorithm for Biomedical Signals

Sampling and Exact Reconstruction of Pulses with Variable Width

Hierarchical Cardiac-Rhythm Classification Based on Electrocardiogram Morphology

A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset

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

Prediction of Atrial Fibrillation Termination by Catheter Ablation Using Adaptive Frequency Tracking of Atrial ECG Signal

Subject-Independent Odor Pleasantness Classification Using Brain and Peripheral Signals

Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems

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A Novel Short-term Event Extraction Algorithm for Biomedical Signals

Impact of individual differences in glucocorticoid adaptation to stress on behavior, neurophysiology and metabolism

Sampling and Exact Reconstruction of Pulses with Variable Width

Prediction of Atrial Fibrillation Termination by Catheter Ablation Using Adaptive Frequency Tracking of Atrial ECG Signal

Hierarchical Cardiac-Rhythm Classification Based on Electrocardiogram Morphology

Subject-Independent Odor Pleasantness Classification Using Brain and Peripheral Signals

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