Fernando Hornero

Orcid: 0000-0002-7560-2781

According to our database1, Fernando Hornero authored at least 22 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
Novel Entropy-Based Metrics for Long-Term Atrial Fibrillation Recurrence Prediction Following Surgical Ablation: Insights from Preoperative Electrocardiographic Analysis.
Entropy, January, 2024

A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring.
Sensors, 2024

2023
Detection of Hypertension Through Features from Heart Rate Variability and Machine Learning Analysis.
Proceedings of the Computing in Cardiology, 2023

2022
Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation.
Sensors, 2022

An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation.
Sensors, 2022

Practical Considerations for the Application of Nonlinear Indices Characterizing the Atrial Substrate in Atrial Fibrillation.
Entropy, 2022

Cuffless Hypertension Risk Assessment and the Significance of Calibration.
Proceedings of the Computing in Cardiology, 2022

2021
Linear and Nonlinear Correlations Between Surface and Invasive Atrial Activation Features in Catheter Ablation of Paroxysmal Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate.
Entropy, 2020

Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm.
Proceedings of the Computing in Cardiology, 2020

Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation.
Proceedings of the Computing in Cardiology, 2020

Study on the Stability of CFAEs to Characterize the Atrial Substrate in Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020

2017
Spectral Analysis of the ECG to Guide Optimal Endpoint in Catheter Ablation of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017

2015
Surface ECG Spectral Analysis to Predict Atrial Fibrillation Catheter Ablation Long-term Outcome.
Proceedings of the Computing in Cardiology, 2015

2013
Combination of Clinical and Electrocardiographic Indices to Predict Cox-Maze Surgery Outcome at Discharge.
Proceedings of the Computing in Cardiology, 2013

Application of the Preoperative ECG to Predict Cox Maze Surgery Mid-term Outcome.
Proceedings of the Computing in Cardiology, 2013

2011
Validation of surface atrial fibrillation organization indicators through invasive recordings.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Noninvasive organization analysis along consecutive episodes of paroxysmal atrial fibrillation.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2009
Non-invasive atrial fibrillation organization follow-up under successive attempts of electrical cardioversion.
Medical Biol. Eng. Comput., 2009

2006
Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2004
Thermal-electrical modeling for epicardial atrial radiofrequency ablation.
IEEE Trans. Biomed. Eng., 2004


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