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Browsing by Author "Alcaraz, Raúl"

Now showing items 1-20 of 60

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 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 ...
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 ...
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 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 ...
Are Coronary Sinus Features Reflecting the Effect of Catheter Ablation of Atrial Fibrillation as P-waves Do?

Vraka, Aikaterini; Bertomeu-González, Vicente; Hornenro, Fernando; Langley, Philip; Alcaraz, Raúl; Rieta, J J (IEEE, 2021-11-19)

[EN] Atrial substrate alteration due to catheter ablation (CA) of atrial fibrillation (AF) is primarily assessed from P-waves. Nonetheless, how CA affects critical structures is ignored. The aim of the current study is to ...
Assessing the Stability of Complex Fractionated Atrial Electrograms for the Characterization of Atrial Substrate in Atrial Fibrillation

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

[EN] Aimed at characterizing the atrial substrate in atrial fibrillation (AF), a wide number of indexes has been investigated on complex fractionated atrial electrograms (CFAEs). However, many times the assessment of CFAEs ...
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 ...
Assisting Electrophysiological Substrate Quantification in Atrial Fibrillation Ablation

Vraka, Aikaterini; Hornero, Fernando; Osca, Joaquín; Faes, Luca; Alcaraz, Raúl; Rieta, J J (IEEE, 2019-11-23)

[EN] Catheter ablation (CA) is the most popular treatment of atrial fibrillation (AF) with good results in paroxysmal AF, while its efficiency is significantly reduced in persistent AF. With the equipment used for CA ...
Atrial Fibrillation Surgical Ablation Long-term Outcome Prediction Just with One Lead of the Preoperative Surface Electrocardiogram

García, Manuel; Escribano, Pilar; Ródenas, Juan; Martínez-Iniesta, Miguel; Hornero, Fernando; Rieta, J J; Alcaraz, Raúl (IEEE, 2020-10-30)

[EN] To revert atrial fibrillation (AF) in patients requiring concomitant open-heart surgery, surgical ablation (SA) is one of the most effective procedures. However, this intervention is as- sociated with major side ...
Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems

Alcaraz, Raúl; Martínez-Rodrigo, Arturo; Zangroniz, Roberto; Rieta, J J (Institute of Electrical and Electronics Engineers, 2020-08)
Catheter Ablation Outcome Prediction With Advanced Time-Frequency Features of the Fibrillatory Waves From Patients in Persistent Atrial Fibrillation

Escribano, Pilar; Ródenas, Juan; Arias, Miguel A.; Langley, Philip; Rieta, J J; Alcaraz, Raúl (IEEE, 2020-09-16)

[EN] Although catheter ablation (CA) is still the first-line treatment for persistent atrial fibrillation (AF) patients, its limited long-term success rate has motivated clinical interest in preoperative prediction on ...
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 ...
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 ...
Combination of frequency- and time-domain characteristics of the fibrillatory waves for enhanced prediction of persistent atrial fibrillation recurrence after catheter ablation

Escribano, Pilar; Ródenas, Juan; García, Manuel; Arias, Miguel A.; Hidalgo, Víctor M.; Calero, Sofía; Rieta, J J; Alcaraz, Raúl (Elsevier, 2024-02-15)

[EN] Catheter ablation (CA) remains the cornerstone alternative to cardioversion for sinus rhythm (SR) restoration in patients with atrial fibrillation (AF). Unfortunately, despite the last methodological and technological ...