Jose Joaquin Rieta

About Jose Joaquin Rieta

Jose Joaquin Rieta, With an exceptional h-index of 31 and a recent h-index of 19 (since 2020), a distinguished researcher at Universidad Politécnica de València, specializes in the field of Biomedical Signal Processing, Cardiac Arrhythmias.

His recent articles reflect a diverse array of research interests and contributions to the field:

Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots

Combination of frequency-and time-domain characteristics of the fibrillatory waves for enhanced prediction of persistent atrial fibrillation recurrence after catheter ablation

Study on the Generalization Ability of Accelerometer Threshold-Based Methods for Noise Detection in PPG Signals

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

Detección automática de residuos de la actividad ventricular presentes en las ondas fibrilatorias extraídas de registros electrocardiográficos de fibrilación auricular

Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection

Improved Hypertension Risk Assessment with Photoplethysmographic Recordings Combining Deep Learning and Calibration

Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment

Jose Joaquin Rieta Information

University

Position

Professor in Biomedical Engineering & BioMIT.org CEO at

Citations(all)

4344

Citations(since 2020)

1423

Cited By

3478

hIndex(all)

31

hIndex(since 2020)

19

i10Index(all)

87

i10Index(since 2020)

35

Email

University Profile Page

Universidad Politécnica de València

Google Scholar

View Google Scholar Profile

Jose Joaquin Rieta Skills & Research Interests

Biomedical Signal Processing

Cardiac Arrhythmias

Top articles of Jose Joaquin Rieta

Title

Journal

Author(s)

Publication Date

Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots

Biomedical Signal Processing and Control

Álvaro Huerta

Arturo Martinez-Rodrigo

Vicente Bertomeu-González

Óscar Ayo-Martin

José J Rieta

...

2024/5/1

Combination of frequency-and time-domain characteristics of the fibrillatory waves for enhanced prediction of persistent atrial fibrillation recurrence after catheter ablation

Heliyon

Pilar Escribano

Juan Ródenas

Manuel García

Miguel A Arias

Víctor M Hidalgo

...

2024/2/15

Study on the Generalization Ability of Accelerometer Threshold-Based Methods for Noise Detection in PPG Signals

S Mula

R Zangróniz

JJ Rieta

R Alcaraz

2023/10/1

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

Sensors

Aikaterini Vraka

Roberto Zangróniz

Aurelio Quesada

Fernando Hornero

Raúl Alcaraz

...

2023/12/26

Detección automática de residuos de la actividad ventricular presentes en las ondas fibrilatorias extraídas de registros electrocardiográficos de fibrilación auricular

P Escribano

J Ródenas

M García

F Ravelli

M Masè

...

2023

Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection

Daniele Padovano

Arturo Martinez-Rodrigo

Jose M Pastor

Jose J Rieta

Raul Alcaraz

2023/10/1

Improved Hypertension Risk Assessment with Photoplethysmographic Recordings Combining Deep Learning and Calibration

Bioengineering

Jesús Cano

Vicente Bertomeu-González

Lorenzo Fácila

Fernando Hornero

Raúl Alcaraz

...

2023/12/18

Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment

Álvaro Huerta

Arturo Martinez-Rodrigo

José J Rieta

Raúl Alcaraz

2023/10/1

Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring

IEEE Transactions on Instrumentation and Measurement

Nguyen Mai Hoang Long

Wan-Young Chung

2023/11/28

Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms with Paroxysmal Atrial Fibrillation

IEEE Access

Álvaro Huerta

Arturo Martinez-Rodrigo

Davide Carneiro

Vicente Bertomeu-González

Jose J Rieta

...

2023/9/20

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

Aikaterini Vraka

Lorenzo Fácila

Fernando Hornero

Arturo Martínez-Rodrigo

Raúl Alcaraz

...

2023/10/1

Importancia del Pre-entrenamiento en el Desarrollo de una Red Neuronal Convolucional Ligera para la Evaluacion de la Calidad del ECG

A Huerta Herraiz

A Martínez Rodrigo

JJ Rieta Ibáñez

R Alcaraz Martínez

2023

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

Aikaterini Vraka

Vicente Bertomeu-González

Aurelio Quesada

Roberto Zangróniz

Raúl Alcaraz

...

2023/10/1

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

Entropy

Pilar Escribano

Juan Ródenas

Manuel García

Fernando Hornero

Juan M Gracia-Baena

...

2023/12/27

Diagramas de Recurrencia General para la Detección Automática de Apnea Obstructiva del Sueno

D Padovano

A Martínez Rodrigo

José M Pastor

José J Rieta

R Alcaraz

2023

The relevance of calibration in machine learning-based hypertension risk assessment combining photoplethysmography and electrocardiography

Biosensors

Jesús Cano

Lorenzo Fácila

Juan M Gracia-Baena

Roberto Zangróniz

Raúl Alcaraz

...

2022/5/1

Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection

Daniele Padovano

Arturo Martinez-Rodrigo

Jose M Pastor

Jose J Rieta

Raul Alcaraz

2022/9/4

Practical Considerations for the Application of Nonlinear Indices Characterizing the Atrial Substrate in Atrial Fibrillation

Entropy

Emanuela Finotti

Aurelio Quesada

Edward J Ciaccio

Hasan Garan

Fernando Hornero

...

2022/9/8

The Dissimilar Impact in Atrial Substrate Modificationof Left and Right Pulmonary Veins Isolation after Catheter Ablation of Paroxysmal Atrial Fibrillation

Journal of Personalized Medicine

Aikaterini Vraka

Vicente Bertomeu-Gonzalez

Lorenzo Facila

Jose Moreno-Arribas

Raul Alcaraz

...

2022/3/14

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 J Rieta

...

2022/9/4

See List of Professors in Jose Joaquin Rieta University(Universidad Politécnica de València)

Co-Authors

H-index: 65
Alan Murray

Alan Murray

Newcastle University

H-index: 63
Roberto Hornero

Roberto Hornero

Universidad de Valladolid

H-index: 55
Leif Sörnmo

Leif Sörnmo

Lunds Universitet

H-index: 48
Luca Mainardi

Luca Mainardi

Politecnico di Milano

H-index: 42
David Moratal

David Moratal

Universidad Politécnica de València

H-index: 35
Daniel Abasolo

Daniel Abasolo

University of Surrey

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