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Browsing by Author "Rieta Ibañez, José Joaquín"

Now showing items 1-20 of 69

A novel wavelet-based filtering strategy to remove powerline interference from electrocardiograms with atrial fibrillation

García, M.; Martínez, Miguel; Ródenas, Juan; Rieta, J J; Alcaraz, R. (IOP Publishing, 2018)

[EN] Objective: The electrocardiogram (ECG) is currently the most widely used recording to diagnose cardiac disorders, including the most common supraventricular arrhythmia, such as atrial fibrillation (AF). However, ...
Advances in modeling and characterization of atrial arrhythmias

Rieta, J J; Ravelli, Flavia; Sornmo, Leif (2013-12-05)

Atrial arrhythmias (AA) represent a common health problem in adults and may appear as a consequence of cardiac interventions as well as without any associated cardiac disease. In this respect, atrial fibrillation (AF) is ...
Algorithms for Detection of Atrial Fibrillation Sources

Félix Iglesias, Jorge Ramón (Universitat Politècnica de València, 2015-02-13)

Atrial fibrillation (AF) is a cardiac arrhythmia with significant morbidity and mortality affecting more than 10% of people over 75 years. Clinical studies demonstrate that population aging and sedentary lifestyle will ...
Alteration of the P-wave non-linear dynamics near the onset of paroxysmal atrial fibrillation

Martinez, Arturo; Abasolo, Daniel; Alcaraz, Raul; Rieta, J J (Elsevier, 2015-07)

The analysis of P-wave variability from the electrocardiogram (ECG) has been suggested as an early predictor of the onset of paroxysmal atrial fibrillation (PAP). Hence, a preventive treatment could be used to avoid the ...
Análisis del remodelado anatomoeléctrico auricular para la predicción del éxito de la ablación quirúrgica concomitante de la fibrilación auricular a largo plazo

Martin, Elio; Hornero, Fernando; Rieta, J J; Hernández Alonso, Antonio; Paredes, Federico; Mena, Armando; Gil, Oscar; Canovas, Sergio; Garcia, Rafael; Martinez Leon, Juan (Elsevier, 2016-05)

[EN] Objective: To identify preoperative parameters of anatomo-electrical atrial remodelling in order to identify the subgroup of patients more favourable to long-term sinus rhythm (SR) re-establishment after concomitant ...
APLICACIÓN DE REDES NEURONALES ARTIFICIALES EN EL PROCESADO VERSÁTIL DE SEÑALES ELECTROCARDIOGRÁFICAS

Mateo Sotos, Jorge (Universitat Politècnica de València, 2012-10-23)

Es bien conocida la importancia de la señal electrocardiográfica para el diagnóstico de multitud de enfermedades cardiacas, tanto mediante inspección visual como mediante técnicas actuales de inspección automática. Como ...
Application of artificial neural networks for versatile preprocessing of electrocardiogram recordings

Mateo, Jorge; Rieta Ibañez, José Joaquín (Informa Healthcare, 2012-02)

[EN] The electrocardiogram (ECG) is the most widely used method for diagnosis of heart diseases, where a good quality of recordings allows the proper interpretation and identification of physiological and pathological ...
Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest

Chicote, Beatriz; Irusta, Unai; Alcaraz, Raul; Rieta, J J; Aramendi, Elisabete; Isasi, Iraia; Alonso, Daniel; Ibarguren, Karlos (MDPI, 2016-09)

Prediction of defibrillation success is of vital importance to guide therapy and improve the survival of patients suffering out-of-hospital cardiac arrest (OHCA). Currently, the most efficient methods to predict shock ...
Application of Hurst exponents to assess atrial reverse remodeling in paroxysmal atrial fibrillation

Julián Seguí, Matilde; Alcaraz, Raul; Rieta, J J (IOP Publishing: Hybrid Open Access, 2015-11)

Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice. Although its termination mechanisms are not still completely known, previous works have reported significant electrocardiographic differences ...
Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation

García, Manuel; Ródenas García, Juan; Alcaraz, Raúl; Rieta, J J (Elsevier, 2016-07)

Background and Objectives: Atrial fibrillation (AF) is the most common sustained cardiac ar- rhythmia and a growing healthcare burden worldwide. It is often asymptomatic and may appear as episodes of very short duration; ...
Application of wavelet entropy to predict atrial fibrillation progression from the surface ECG

Alcaraz, Raúl; Rieta Ibañez, José Joaquín (Hindawi Publishing Corporation, 2012)

Atrial fibrillation (AF) is the most common supraventricular arrhythmia in clinical practice, thus, being the subject of intensive research both in medicine and engineering. Wavelet Entropy (WE) is a measure of the disorder ...
Applications of Signal Analysis to Atrial Fibrillation

Rieta Ibañez, José Joaquín; Alcaraz Martínez, Raúl (InTech, 2013-02-27)
Assessment of non-invasive time and frequency atrial fibrillation organization markers with unipolar atrial electrograms

Alcaraz, Raúl; Hornero, Fernando; Rieta, J J (IOP Publishing: Hybrid Open Access, 2011-01)

The standard electrocardiogram (ECG) is the most common non-invasive way to study atrial fibrillation (AF). In this respect, previous works have shown that the surface lead V 1 reflects mainly the dominant atrial frequency ...
Cancelación de actividad ventricular en un ECG mediante redes neuronales

Jorda Jimenez, Miguel Alejandro (Universitat Politècnica de València, 2015-04-01)

Este trabajo ha consistido en la programación en Matlab de distintas RN's, su posterior entrenamiento con un conjunto de señales y targets obtenidos a partir de otros métodos populares entre la comunidad científica para ...
Central tendency measure and wavelet transform combined in the non-invasive analysis of atrial fibrillation recordings

Alcaraz, Raúl; Rieta Ibañez, José Joaquín (BioMed Central, 2012-08-09)

Background Atrial fibrillation (AF) is the most common supraventricular arrhythmia in the clinical practice, being the subject of intensive research. Methods The present work introduces two different Wavelet Transform ...
Characterization and processing of atrial fibrillation episodes by convolutive blind source separation algorithms and nonlinear analysis of spectral features

Vayá Salort, Carlos (Universitat Politècnica de València, 2010-06-28)

Las arritmias supraventriculares, en particular la fibrilación auricular (FA), son las enfermedades cardíacas más comúnmente encontradas en la práctica clínica rutinaria. La prevalencia de la FA es inferior al 1\% en la ...
Classification of paroxysmal and persistent atrial fibrillation in ambulatory ECG recordings

Alcaraz, Raúl; Sandberg, Frida; Sornmo, Leif; Rieta Ibañez, José Joaquín (Institute of Electrical and Electronics Engineers (IEEE), 2011-05)

The problem of classifying short atrial fibrillatory segments in ambulatory ECG recordings as being either paroxysmal or persistent is addressed by investigating a robust approach to signal characterization. The method ...
Cuantificación de la organización intracardíaca de arritmias auriculares mediante la fase temporoespacial del electrocardiograma

Luz Carrillo, Daniel (Universitat Politècnica de València, 2016-05-11)

El objetivo principal del presente proyecto final de carrera persigue el desarrollo e implementación de métodos numéricos capaces de cuantificar la organización intracardíaca en registros electrocardiográficos procedentes ...
Desarrollo de Protocolos de Verificación Operativa en Equipos Electromédicos

Tomás Cucarella, Jose (Universitat Politècnica de València, 2014-02-28)

Este proyecto se ha realizado por la necesidad de elaborar un mantenimiento preventivo y correctivo de un conjunto de equipos de instrumentación biomédica que se encuentran en un hospital con el fin, de procurar que estos ...
Desarrollo de un método de estimación de la presión arterial combinando fotopletismografía y electrocardiografía

Cano Serrano, Jesús (Universitat Politècnica de València, 2020-09-15)

[ES] Las enfermedades cardiovasculares son una de las principales causas de muerte en el mundo y lahipertensión arterial es su principal factor de riesgo. La mejor forma de evitar estas complicacioneses aplicar medidas de ...