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Browsing by Author "Rieta Ibañez, José Joaquín"

Now showing items 1-20 of 147

A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices

Huerta Herraiz, Álvaro; Martínez-Rodrigo, Arturo; Bertomeu-González, Vicente; Quesada, Aurelio; Rieta, J J; Alcaraz, Raúl (MDPI AG, 2020-07)

[EN] Atrial fibrillation (AF) is the most common heart rhythm disturbance in clinical practice. It often starts with asymptomatic and very short episodes, which are extremely difficult to detect without long-term monitoring ...
A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs

Huerta, Alvaro; Martinez-Rodrigo, Arturo; Rieta, J J; Alcaraz, Raúl (IEEE, 2020-09-16)

[EN] A broad variety of algorithms for detection and classification of rhythm and morphology abnormalities in ECG recordings have been proposed in the last years. Although some of them have reported very promising results, they ...
A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring

Vraka, Aikaterini; Zangróniz, Roberto; Quesada, Aurelio; Hornero, Fernando; Alcaraz, Raúl; Rieta, J J (MDPI AG, 2024-01)

[EN] Health-tracking from photoplethysmography (PPG) signals is significantly hindered by motion artifacts (MAs). Although many algorithms exist to detect MAs, the corrupted signal often remains unexploited. This work ...
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, ...
A Straightforward Methodology to Distinguish Complex Fractionated Atrial Electrograms of Paroxysmal from Persistent Atrial Fibrillation

Finotti, Emanuela; Ciaccio, Edward J.; Garan, Hasan; Bertomeu-González, Vicente; Alcaraz, Raúl; Rieta, J J (IEEE, 2020-10-30)

[EN] Many indices aimed at discriminating between paroxysmal and persistent atrial fibrillation (ParAF vs. PerAF) have been previously studied and assessed via statistical tests in order to suggest optimized approaches to ...
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 ...
Alternative Time-Domain P-wave Analysis for Precise Information on Substrate Alteration After Pulmonary Vein Isolation for Atrial Fibrillation

Vraka, Aikaterini; Bertomeu-González, Vicente; Hornero, Fernando; Sörnmo, Leif; Alcaraz, Raúl; Rieta, J J (IEEE, 2021-11-19)

[EN] While P-wave duration (PWD) is primarily employed to observe the atrial substrate alterations after pulmonary vein isolation (PVI) on atrial fibrillation (AF) patients, the acquired information corresponds to the ...
An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation

Osorio, Diego; Vraka, Aikaterini; Quesada, Aurelio; Hornero, Fernando; Alcaraz, Raúl; Rieta, J J (MDPI AG, 2022-07)

[EN] Local activation waves (LAWs) detection in complex fractionated atrial electrograms (CFAEs) during catheter ablation (CA) of atrial fibrillation (AF), the commonest cardiac arrhythmia, is a complicated task due to ...
An Experimental Review on Obstructive Sleep Apnea Detection Based on Heart Rate Variability and Machine Learning Techniques

Padovano, Daniele; Martinez-Rodrigo, Arturo; Pastor, Jose M.; Rieta, J J; Alcaraz, Raúl (IEEE, 2020-10-30)

[EN] Obstructive sleep apnea (OSA) is a respiratory syndrome of high incidence in the general population and correlated with some cardiovascular diseases. Several techniques have been proposed in the last decades to find ...
Análisis de la variabilidad temporal de la onda P para predecir el resultado de la ablación por catéter en fibrilación auricular paroxística

Ruiz Moreno, A.; Arias Palomares, M.A.; Puchol Calderón, A.; Pachón Iglesias, M.I.; Rieta, J J; Alcaraz Martínez, R. (Sociedad Española de Ingeniería Biomédica, 2020-11-27)

[EN] El aislamiento de las venas pulmonares es el principal tratamiento de la fibrilacion auricular (FA) paroxistica. Sin embargo, presenta una alta tasa de recurrencia y el desarrollo de predictores no invasivos de esta ...
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 ...
Análisis multidimensional de las 12 derivaciones del ECG estándar para predecir el éxito de la cardioversión eléctrica en fibrilación auricular persistente

Cirugeda Roldan, E.M.; Calero Núñez, S.; Plancha Burguera, E.; Enero Navajo, J.; Rieta, J J; Alcaraz Martínez, R. (Sociedad Española de Ingeniería Biomédica, 2020-11-27)

[ES] La Sociedad Europea de Cardiologia recomienda la cardioversion electrica (CVE) para el control del ritmo cardiaco en situaciones de fibrilacion auricular (FA) persistente. Aunque es capaz de restaurar inicialmente el ...
Aplicación de la Variabilidad de la Frecuencia Cardiaca en la Predicción de Eventos Vasculares de Pacientes Hipertensos

Tornero Costa, Roberto (Universitat Politècnica de València, 2021-10-22)

[ES] Los eventos vasculares pueden ser de tipo cardiovascular o cerebrovascular, es decir, infarto de miocardio o accidente cerebrovascular, que son la principal causa de muerte prematura y discapacidad en los países ...
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 Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings

Huerta, Alvaro; Martinez-Rodrigo, Arturo; Arias, Miguel A.; Langley, Philip; Rieta, J J; Alcaraz, Raul (IEEE, 2020-09-16)

[EN] In the last years, atrial fibrillation (AF) has become one of the most remarkable health problems in the developed world. This arrhythmia is associated with an increased risk of cardiovascular events, being its early ...
Application of Deep Neural Network Models for Blood Pressure Classification based on Photoplethysmograpic Recordings

Cano, Jesús; Fácila, Lorenzo; Langley, Philip; Zangróniz, Roberto; Alcaraz, Raúl; Rieta, J J (IEEE, 2021-11-19)

[EN] The measurement of blood pressure (BP) in an uninterrupted and comfortable way for the subject is essential for early diagnosis and monitoring of cardiovascular diseases (CVD). In fact, hypertension is the main risk ...
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 ...