47 results on '"Raúl Alcaraz"'
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2. Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring.
3. Study on the Generalization Ability of Accelerometer Threshold-Based Methods for Noise Detection in PPG Signals.
4. Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment.
5. Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection.
6. Optimized Blood Pressure Classification by Features of Pulse Rate Variability and Asymmetry.
7. Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection.
8. Cuffless Hypertension Risk Assessment and the Significance of Calibration.
9. The P-Wave Time-Domain Significant Features to Evaluate Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation.
10. Spectral Distribution Complexity of the Surface Fibrillatory Waves Predicts Post-Catheter Ablation Relapse in Persistent Atrial Fibrillation.
11. Left Pulmonary Veins Isolation: The Cornerstone in Noninvasive Evaluation of Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation.
12. ECG and PPG-Based Hypertension Screening Under Non-Hypertensive Blood Pressure Recordings.
13. Hypertension Risk Assessment from Photoplethysmographic Recordings Using Deep Learning Classifiers.
14. ECG Quality Assessment via Deep Learning and Data Augmentation.
15. Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography.
16. Linear and Nonlinear Correlations Between Surface and Invasive Atrial Activation Features in Catheter Ablation of Paroxysmal Atrial Fibrillation.
17. Predicting Atrial Fibrillation Recurrence After Catheter Ablation Through Time Variability of P-wave Features.
18. Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation.
19. Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge.
20. Refined Multiscale Entropy Predicts Early Failure in Electrical Cardioversion of Atrial Fibrillation.
21. Limb Versus Precordial ECG Leads as Improved Predictors of Electrical Cardioversion Outcome in Persistent Atrial Fibrillation.
22. Multidimensional Characterization of the Atrial Activity to Predict Electrical Cardioversion Outcome of Persistent Atrial Fibrillation.
23. Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings.
24. Discrimination Between CFAEs of Paroxysmal and Persistent Atrial Fibrillation With Simple Classification Models of Reduced Features.
25. A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs.
26. Catheter Ablation Outcome Prediction With Advanced Time-Frequency Features of the Fibrillatory Waves From Patients in Persistent Atrial Fibrillation.
27. Comparative Study of Convolutional Neural Networks for ECG Quality Assessment.
28. Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm.
29. Study on the Stability of CFAEs to Characterize the Atrial Substrate in Atrial Fibrillation.
30. Application of Joint Notch Filtering and Wavelet Transform for Enhanced Powerline Interference Removal in Atrial Fibrillation Electrograms.
31. An Efficient Algorithm Based on Wavelet Transform to Reduce Powerline Noise From Electrocardiograms.
32. Adaptive Wavelets Applied to Automatic Local Activation Wave Detection in Fractionated Atrial Electrograms of Atrial Fibrillation.
33. Surface ECG Spectral Analysis to Predict Atrial Fibrillation Catheter Ablation Long-term Outcome.
34. The Lagged Central Tendency Measure Applied to Assess P-wave Duration Variability Improves Paroxysmal Atrial Fibrillation Onset Prediction.
35. Study on the Trustability of Phase Mapping Methods to Represent Atrial Potentials in Atrial Fibrillation.
36. Atrial Fibrillation Screening through Combined Timing Features of Short Single-Lead Electrocardiograms.
37. Electrocardiographic P-wave Delineation Based on Adaptive Slope Gaussian Detection.
38. Spectral Analysis of the ECG to Guide Optimal Endpoint in Catheter Ablation of Atrial Fibrillation.
39. Application of the Stationary Wavelet Transform to Reduce Power-line Interference in Atrial Electrograms.
40. A Fractionation-based Local Activation Wave Detector for Atrial Electrograms of Atrial Fibrillation.
41. Study on the Alternatives to Reduce High-Frequency Noise from Invasive Recordings of Atrial Fibrillation.
42. The Physionet QT Database: Study on the Reliability of P-wave Manual Annotations under Noisy Recordings.
43. Comparative Study of Methods for Atrial Fibrillation Cycle Length Estimation in Fractionated Electrograms.
44. Study on the Optimal Use of Generalized Hurst Exponents for Noninvasive Estimation of Atrial Fibrillation Organization.
45. Generalized Hurst Exponents as a Tool to Estimate Atrial Fibrillation Organization from the Surface ECG.
46. Application of the Preoperative ECG to Predict Cox Maze Surgery Mid-term Outcome.
47. Combination of Clinical and Electrocardiographic Indices to Predict Cox-Maze Surgery Outcome at Discharge.
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