Aikaterini Vraka

According to our database, Aikaterini Vraka authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Aikaterini Vraka, Roberto Zangróniz, Aurelio Quesada, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta

Sensors, 2024

2023

Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring.

Aikaterini Vraka, Juan M. Gracia-Baena, Flavia Ravelli, Philip Langley, Raúl Alcaraz, José Joaquín Rieta

Proceedings of the Computing in Cardiology, 2023

Detection of Hypertension Through Features from Heart Rate Variability and Machine Learning Analysis.

Aikaterini Vraka, Lorenzo Fácila, Fernando Hornero, Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta

Proceedings of the Computing in Cardiology, 2023

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

Aikaterini Vraka, Vicente Bertomeu-González, Aurelio Quesada, Roberto Zangróniz, Raúl Alcaraz, José Joaquín Rieta

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.

Aikaterini Vraka, Vicente Bertomeu-González, Fernando Hornero, Aurelio Quesada, Raúl Alcaraz, José Joaquín Rieta

Sensors, 2022

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

Diego I. Osorio, Aikaterini Vraka, Aurelio Quesada, Fernando Hornero, Raúl Alcaraz, José Joaquín Rieta

Sensors, 2022

Left Pulmonary Veins Isolation: The Cornerstone in Noninvasive Evaluation of Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation.

Aikaterini Vraka, José Moreno-Arribas, Juan M. Gracia-Baena, Flavia Ravelli, Raúl Alcaraz, José Joaquín Rieta

Proceedings of the Computing in Cardiology, 2022

The P-Wave Time-Domain Significant Features to Evaluate Substrate Modification After Catheter Ablation of Paroxysmal Atrial Fibrillation.

Aikaterini Vraka, Vicente Bertomeu-González, Leif Sörnmo, Roberto Zangróniz, Raúl Alcaraz, José Joaquín Rieta

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.

Aikaterini Vraka, Vicente Bertomeu-González, Fernando Hornero, Flavia Ravelli, Raúl Alcaraz, José Joaquín Rieta

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.

Aikaterini Vraka, Fernando Hornero, Vicente Bertomeu-González, Joaquín Osca, Raúl Alcaraz, José Joaquín Rieta

Entropy, 2020

Reliability of Local Activation Waves Features to Characterize Paroxysmal Atrial Fibrillation Substrate During Sinus Rhythm.

Aikaterini Vraka, Fernando Hornero, Aurelio Quesada, Luca Faes, Raúl Alcaraz, José Joaquín Rieta

Proceedings of the Computing in Cardiology, 2020