Juan Ródenas

According to our database, Juan Ródenas authored at least 12 papers between 2015 and 2024.

Collaborative distances:

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

2024

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

Pilar Escribano, Juan Ródenas, Manuel García, Fernando Hornero, Juan M. Gracia-Baena, Raúl Alcaraz, José Joaquín Rieta

Entropy, January, 2024

2022

Spectral Distribution Complexity of the Surface Fibrillatory Waves Predicts Post-Catheter Ablation Relapse in Persistent Atrial Fibrillation.

Pilar Escribano, Juan Ródenas, Manuel García, Miguel A. Arias, José Joaquín Rieta, Raúl Alcaraz

Proceedings of the Computing in Cardiology, 2022

2020

Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation.

Juan Ródenas, Pilar Escribano, Miguel Martinez-Iniesta, Manuel García, Fernando Hornero, José Joaquín Rieta, Raúl Alcaraz

Proceedings of the Computing in Cardiology, 2020

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

Pilar Escribano, Juan Ródenas, Miguel A. Arias, Philip Langley, José Joaquín Rieta, Raúl Alcaraz

Proceedings of the Computing in Cardiology, 2020

2018

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

Juan Ródenas, Manuel García, José Joaquín Rieta, Raúl Alcaraz

Proceedings of the Computing in Cardiology, 2018

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

Miguel Martínez, Juan Ródenas, José Joaquín Rieta, Raúl Alcaraz

Proceedings of the Computing in Cardiology, 2018

2017

Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation.

Juan Ródenas, Manuel García, Raúl Alcaraz, José Joaquín Rieta

Complex., 2017

Application of the Stationary Wavelet Transform to Reduce Power-line Interference in Atrial Electrograms.

Miguel Martínez, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta

Proceedings of the Computing in Cardiology, 2017

Study on the Alternatives to Reduce High-Frequency Noise from Invasive Recordings of Atrial Fibrillation.

Miguel Martínez, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta

Proceedings of the Computing in Cardiology, 2017

Atrial Fibrillation Screening through Combined Timing Features of Short Single-Lead Electrocardiograms.

Manuel García, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta

Proceedings of the Computing in Cardiology, 2017

2016

Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation.

Manuel García, Juan Ródenas, Raúl Alcaraz, José Joaquín Rieta

Comput. Methods Programs Biomed., 2016

2015

Wavelet Entropy Automatically Detects Episodes of Atrial Fibrillation from Single-Lead Electrocardiograms.

Juan Ródenas, Manuel García, Raúl Alcaraz, José Joaquín Rieta

Entropy, 2015