Vicente Bertomeu-González

Orcid: 0000-0001-5309-0562

According to our database1, Vicente Bertomeu-González authored at least 11 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots.
Biomed. Signal Process. Control., 2024

2023
Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation.
IEEE Access, 2023

Optimized Blood Pressure Classification by Features of Pulse Rate Variability and Asymmetry.
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

The P-Wave Time-Domain Significant Features to Evaluate Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022

ECG and PPG-Based Hypertension Screening Under Non-Hypertensive Blood Pressure Recordings.
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

Hypertension Risk Assessment from Photoplethysmographic Recordings Using Deep Learning Classifiers.
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

A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices.
Entropy, 2020

Discrimination Between CFAEs of Paroxysmal and Persistent Atrial Fibrillation With Simple Classification Models of Reduced Features.
Proceedings of the Computing in Cardiology, 2020


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