Arturo Martínez-Rodrigo

63 papers B 1Misc 1Journal 31Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
A leap forward in early vascular aging research: uncovering the high-risk vascular aging patterns.
Int. J. Data Sci. Anal.
Arturo Martínez-Rodrigo, Alicia Saz-Lara, João Pedrosa, Iris Otero-Luis, Nerea Moreno-Herraiz, Carla Geovanna Lever-Megina, Isabel Antonia Martínez-Ortega, José Manuel Pastor, Iván Cavero-Redondo
2025 J jnl
A Novel Nonlinear Method for Cardiovascular Data Synchronization.
IEEE Access
Daniele Padovano, Arturo Martínez-Rodrigo, Norbert Marwan, Santiago Mula Muñoz, José Joaquín Rieta, Raúl Alcaraz
2025 — conf
Methods for Wearable Electrocardiogram and Photoplethysmogram Synchronization.
IWBBIO (2)
Daniele Padovano, Arturo Martínez-Rodrigo, Óscar Ayo-Martin, José Joaquín Rieta, Raúl Alcaraz
2024 J jnl
Development of a recommendation system and data analysis in personalized medicine: an approach towards healthy vascular ageing.
Health Inf. Sci. Syst.
Arturo Martínez-Rodrigo, José Carlos Castillo, Alicia Saz-Lara, Iris Otero-Luis, Iván Cavero-Redondo
2024 J jnl
Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots.
Biomed. Signal Process. Control.
Álvaro Huerta, Arturo Martínez-Rodrigo, Vicente Bertomeu-González, Óscar Ayo-Martin, José Joaquín Rieta, Raúl Alcaraz
2023 — conf
Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection.
CinC
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
2023 J jnl
Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation.
IEEE Access
Álvaro Huerta, Arturo Martínez-Rodrigo, Davide Carneiro, Vicente Bertomeu-González, José Joaquín Rieta, Raúl Alcaraz
2023 — conf
Detection of Hypertension Through Features from Heart Rate Variability and Machine Learning Analysis.
CinC
Aikaterini Vraka, Lorenzo Fácila, Fernando Hornero, Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
2023 — conf
Intelligent Heart Rate Monitoring from a Social Robot.
ISAmI
Arturo Martínez-Rodrigo, José Carlos Castillo, Sara Carrasco-Martínez, Daniele Padovano, Ângelo Costa
2023 — conf
Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz
2022 J jnl
Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals.
IEEE Trans. Cogn. Dev. Syst.
Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz, Arturo Martínez-Rodrigo
2022 J jnl
Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States.
Int. J. Neural Syst.
Beatriz García-Martínez, Antonio Fernández-Caballero, Arturo Martínez-Rodrigo, Raúl Alcaraz, Paulo Novais
2022 — conf
Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection.
CinC
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
2022 J jnl
On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning.
IEEE Access
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
2021 J jnl
A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition.
IEEE Trans. Affect. Comput.
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Raúl Alcaraz, Antonio Fernández-Caballero
2021 — conf
Analysis of Electroencephalographic Signals from a Brain-Computer Interface for Emotions Detection.
IWANN (1)
Beatriz García-Martínez, Antonio Fernández-Caballero, Arturo Martínez-Rodrigo, Paulo Novais
2021 J jnl
Assessment of dispersion patterns for negative stress detection from electroencephalographic signals.
Pattern Recognit.
Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz, Arturo Martínez-Rodrigo
2021 J jnl
Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings.
Neural Comput. Appl.
Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz, Arturo Martínez-Rodrigo
2021 — conf
Detection of Emotions from Electroencephalographic Recordings by Means of a Nonlinear Functional Connectivity Measure.
IWANN (1)
Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz, Arturo Martínez-Rodrigo
2021 J jnl
Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network.
Sensors
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Álvaro Huerta, Raúl Alcaraz
2021 — conf
ECG Quality Assessment via Deep Learning and Data Augmentation.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz
2021 J jnl
Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems.
IEEE Trans. Learn. Technol.
Raúl Alcaraz, Arturo Martínez-Rodrigo, Roberto Zangróniz, José Joaquín Rieta
2021 — conf
Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography.
CinC
Jesús Cano, Fernando Hornero, Aurelio Quesada, Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
2021 J jnl
Recognition of Emotional States from EEG Signals with Nonlinear Regularity- and Predictability-Based Entropy Metrics.
Cogn. Comput.
Beatriz García-Martínez, Antonio Fernández-Caballero, Luciano Zunino, Arturo Martínez-Rodrigo
2020 J jnl
A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices.
Entropy
Álvaro Huerta Herraiz, Arturo Martínez-Rodrigo, Vicente Bertomeu-González, Aurelio Quesada, José Joaquín Rieta, Raúl Alcaraz
2020 — conf
A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz
2020 — conf
Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, Miguel A. Arias, Philip Langley, José Joaquín Rieta, Raúl Alcaraz
2020 J jnl
Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems.
IEEE Trans. Educ.
Raúl Alcaraz, Arturo Martínez-Rodrigo, Roberto Zangróniz, José Joaquín Rieta
2020 — conf
Comparative Study of Convolutional Neural Networks for ECG Quality Assessment.
CinC
Álvaro Huerta, Arturo Martínez-Rodrigo, Alberto Puchol, Marta I Pachón, José Joaquín Rieta, Raúl Alcaraz
2020 J jnl
Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity.
Int. J. Neural Syst.
Roberto Sánchez-Reolid, Arturo Martínez-Rodrigo, María T. López, Antonio Fernández-Caballero
2020 J jnl
Film mood induction and emotion classification using physiological signals for health and wellness promotion in older adults living alone.
Expert Syst. J. Knowl. Eng.
Arturo Martínez-Rodrigo, Luz Fernández-Aguilar, Roberto Zangróniz, José Miguel Latorre, José Manuel Pastor, Antonio Fernández-Caballero
2020 J jnl
Nonlinear predictability analysis of brain dynamics for automatic recognition of negative stress.
Neural Comput. Appl.
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero, José Moncho-Bogani, Raúl Alcaraz
2020 — conf
Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge.
CinC
Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz
2019 — conf
Emotion Detection in Aging Adults Through Continuous Monitoring of Electro-Dermal Activity and Heart-Rate Variability.
IWINAC (1)
Luz Fernández-Aguilar, Arturo Martínez-Rodrigo, José Moncho-Bogani, Antonio Fernández-Caballero, José Miguel Latorre
2019 J jnl
Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition.
Frontiers Neuroinformatics
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Luciano Zunino, Raúl Alcaraz, Antonio Fernández-Caballero
2019 J jnl
Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings.
Int. J. Neural Syst.
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Raúl Alcaraz, Pascual González, Antonio Fernández-Caballero
2019 — conf
Stress Identification from Electrodermal Activity by Support Vector Machines.
IWINAC (1)
Roberto Sánchez-Reolid, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero
2018 — conf
Multilag Extension of Quadratic Sample Entropy for Distress Recognition with EEG Recordings.
ISAmI
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero, Raúl Alcaraz
2018 J jnl
Neural Correlates of Phrase Quadrature Perception in Harmonic Rhythm: An EEG Study Using a Brain-Computer Interface.
Int. J. Neural Syst.
Alicia Fernández-Sotos, Arturo Martínez-Rodrigo, José Moncho-Bogani, José Miguel Latorre, Antonio Fernández-Caballero
2018 — conf
Testing a New Methodology for Accelerating the Computation of Quadratic Sample Entropy in Emotion Recognition Systems.
ISAmI
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz
2017 J jnl
Arousal level classification of the aging adult from electro-dermal activity: From hardware development to software architecture.
Pervasive Mob. Comput.
Arturo Martínez-Rodrigo, Roberto Zangróniz, José Manuel Pastor, Marina V. Sokolova
2017 — conf
Conditional Entropy Estimates for Distress Detection with EEG Signals.
IWINAC (1)
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero, Pascual González, Raúl Alcaraz
2017 J jnl
Electrodermal Activity Sensor for Classification of Calm/Distress Condition.
Sensors
Roberto Zangróniz, Arturo Martínez-Rodrigo, José Manuel Pastor, María T. López, Antonio Fernández-Caballero
2017 J jnl
Neural Correlates of Phrase Rhythm: An EEG Study of Bipartite vs. Rondo Sonata Form.
Frontiers Neuroinformatics
Arturo Martínez-Rodrigo, Alicia Fernández-Sotos, José Miguel Latorre, José Moncho-Bogani, Antonio Fernández-Caballero
2017 — conf
Nonlinear Methodologies Applied to Automatic Recognition of Emotions: An EEG Review.
UCAmI
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Raúl Alcaraz, Antonio Fernández-Caballero, Pascual González
2017 — conf
Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition.
IWINAC (1)
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Antonio Fernández-Caballero, José Moncho-Bogani, José Manuel Pastor, Raúl Alcaraz
2017 — conf
Recent Advances and Challenges in Nonlinear Characterization of Brain Dynamics for Automatic Recognition of Emotional States.
IWINAC (1)
Raúl Alcaraz, Beatriz García-Martínez, Roberto Zangróniz, Arturo Martínez-Rodrigo
2017 J jnl
Smart environment architecture for robust people detection by infrared and visible video fusion.
J. Ambient Intell. Humaniz. Comput.
José Carlos Castillo, Antonio Fernández-Caballero, Juan Serrano-Cuerda, María T. López, Arturo Martínez-Rodrigo
2017 — conf
Study of Electroencephalographic Signal Regularity for Automatic Emotion Recognition.
UCAmI
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Raúl Alcaraz, Antonio Fernández-Caballero, Pascual González
2017 J jnl
Symbolic Analysis of Brain Dynamics Detects Negative Stress.
Entropy
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Roberto Zangróniz, José Manuel Pastor, Raúl Alcaraz
2016 — conf
ARISTARKO: A Software Framework for Physiological Data Acquisition.
ISAmI
Arturo Martínez-Rodrigo, José Manuel Pastor, Roberto Zangróniz, César Sánchez-Meléndez, Antonio Fernández-Caballero
2016 J jnl
Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings.
Entropy
Beatriz García-Martínez, Arturo Martínez-Rodrigo, Roberto Zangróniz Higuera, José Manuel Pastor, Raúl Alcaraz
2016 — conf
EEG Mapping for Arousal Level Quantification Using Dynamic Quadratic Entropy.
ISAmI
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Raúl Alcaraz, José Manuel Pastor, Antonio Fernández-Caballero
2016 B conf
Monitoring Electrodermal Activity for Stress Recognition Using a Wearable.
Intelligent Environments (Workshops)
Arturo Martínez-Rodrigo, Antonio Fernández-Caballero, Fábio Silva, Paulo Novais
2016 J jnl
Smart environment architecture for emotion detection and regulation.
J. Biomed. Informatics
Antonio Fernández-Caballero, Arturo Martínez-Rodrigo, José Manuel Pastor, José Carlos Castillo, Elena Lozano-Monasor, María T. López, Roberto Zangróniz, José Miguel Latorre, Alicia Fernández-Sotos
2015 — conf
A Distributed Architecture for Multimodal Emotion Identification.
PAAMS (Special Sessions)
Marina V. Sokolova, Antonio Fernández-Caballero, María T. López, Arturo Martínez-Rodrigo, Roberto Zangróniz Higuera, José Manuel Pastor
2015 — conf
Arousal Level Classification in the Ageing Adult by Measuring Electrodermal Skin Conductivity.
AmIHEALTH
Arturo Martínez-Rodrigo, Roberto Zangróniz, José Manuel Pastor, Antonio Fernández-Caballero
2015 — conf
Emotion Detection in Ageing Adults from Physiological Sensors.
ISAmI
Arturo Martínez-Rodrigo, Roberto Zangróniz Higuera, José Manuel Pastor, José Miguel Latorre, Antonio Fernández-Caballero
2015 Misc conf
Hierarchical Architecture for Robust People Detection by Fusion of Infrared and Visible Video.
IDC
José Carlos Castillo, Juan Serrano-Cuerda, Antonio Fernández-Caballero, Arturo Martínez-Rodrigo
2015 J jnl
Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation.
Comput. Methods Programs Biomed.
Raúl Alcaraz, Arturo Martínez-Rodrigo, José Joaquín Rieta
2015 — conf
The Lagged Central Tendency Measure Applied to Assess P-wave Duration Variability Improves Paroxysmal Atrial Fibrillation Onset Prediction.
CinC
Raúl Alcaraz, Arturo Martínez-Rodrigo, José Joaquín Rieta
2013 J jnl
Ventricular activity morphological characterization: Ectopic beats removal in long term atrial fibrillation recordings.
Comput. Methods Programs Biomed.
Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta
2011 — conf
Detection and removal of ventricular ectopic beats in atrial fibrillation recordings via principal component analysis.
EMBC
Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta