Výsledky vyhledávání - "Rieta, Jose J"

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Combination of frequency-and time-domain characteristics of the fibrillatory waves for enhanced prediction of persistent atrial fibrillation recurrence after catheter ablation

Autor: Escribano, Pilar, Rodenas, Juan, Garcia, Manuel, Arias, Miguel A., Hidalgo, Victor M., Calero, Sofia, Rieta, Jose J., Alcaraz, Raul

Publikováno v: Heliyon 2024(3)

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 advances, this procedure is not

Externí odkaz: http://arxiv.org/abs/2402.02440

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

Autor: Garcia, Manuel, Martinez-Iniesta, Miguel, Rodenas, Juan, Rieta, Jose J, Alcaraz, Raul

Publikováno v: Physiol. Meas. 39 (2018) 115006 (15pp)

"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, different types of electrical disturb

Externí odkaz: http://arxiv.org/abs/2401.13067

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Time Variability of FibrillatoryWaves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation

Autor: Rodenas, Juan, Escribano, Pilar, Martinez-Iniesta, Miguel, Garcia, Manuel, Hornero, Fernando, Rieta, Jose J, Alcaraz, Raul

Publikováno v: Computing in Cardiology 2020; Vol 47

Surgical ablation (SA) is the most effective procedure to terminate atrial fibrillation (AF) in patients requiring concomitant open heart surgery. However, considering the great stress provoked in the patients heart, along with the benefits of antici

Externí odkaz: http://arxiv.org/abs/2401.10704

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Catheter Ablation Outcome Prediction With Advanced Time-Frequency Features of the Fibrillatory Waves From Patients in Persistent Atrial Fibrillation

Autor: Escribano, Pilar, Rodenas, Juan, Arias, Miguel A, Langley, Philip, Rieta, Jose J, Alcaraz, Raul

Publikováno v: Computing in Cardiology 2020; Vol 47

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 the procedures outcome to provide opt

Externí odkaz: http://arxiv.org/abs/2401.10705

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Application of Joint Notch Filtering and Wavelet Transform for Enhanced Powerline Interference Removal in Atrial Fibrillation Electrograms

Autor: Martinez-Iniesta, Miguel, Rodenas, Juan, Rieta, Jose J., Alcaraz, Raul

Publikováno v: Computing in Cardiology 2018; Vol 45

Analysis of intra-atrial electrograms (EGMs) nowadays constitutes the most common way to gain new insights about the mechanisms triggering and maintaining atrial fibrillation (AF). However, these recordings are highly contaminated by powerline interf

Externí odkaz: http://arxiv.org/abs/2401.10698

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An Efficient Algorithm Based on Wavelet Transform to Reduce Powerline Noise From Electrocardiograms

Autor: Rodenas, Juan, Garcia, Manuel, Rieta, Jose J., Alcaraz, Raul

Publikováno v: Computing in Cardiology 2018; Vol 45

Nowadays, the electrocardiogram (ECG) is still the most widely used signal for the diagnosis of cardiac pathologies. However, this recording is often disturbed by the powerline interference (PLI), its removal being mandatory to avoid misdiagnosis. Al

Externí odkaz: http://arxiv.org/abs/2401.10694

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