Arturo Martínez-Rodrigo

Orcid: 0000-0003-2343-3186

According to our database1, Arturo Martínez-Rodrigo authored at least 60 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Development of a recommendation system and data analysis in personalized medicine: an approach towards healthy vascular ageing.
Health Inf. Sci. Syst., December, 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

Intelligent Heart Rate Monitoring from a Social Robot.
Proceedings of the Ambient Intelligence - Software and Applications, 2023

Detection of Hypertension Through Features from Heart Rate Variability and Machine Learning Analysis.
Proceedings of the Computing in Cardiology, 2023

Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection.
Proceedings of the Computing in Cardiology, 2023

Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment.
Proceedings of the Computing in Cardiology, 2023

2022
Application of Dispersion Entropy for the Detection of Emotions With Electroencephalographic Signals.
IEEE Trans. Cogn. Dev. Syst., 2022

Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States.
Int. J. Neural Syst., 2022

On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning.
IEEE Access, 2022

Hidden Hazards Beneath Cross-Validation Methods in Machine Learning-Based Sleep Apnea Detection.
Proceedings of the Computing in Cardiology, 2022

2021
Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems.
IEEE Trans. Learn. Technol., 2021

A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition.
IEEE Trans. Affect. Comput., 2021

Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network.
Sensors, 2021

Assessment of dispersion patterns for negative stress detection from electroencephalographic signals.
Pattern Recognit., 2021

Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings.
Neural Comput. Appl., 2021

Recognition of Emotional States from EEG Signals with Nonlinear Regularity- and Predictability-Based Entropy Metrics.
Cogn. Comput., 2021

Detection of Emotions from Electroencephalographic Recordings by Means of a Nonlinear Functional Connectivity Measure.
Proceedings of the Advances in Computational Intelligence, 2021

Analysis of Electroencephalographic Signals from a Brain-Computer Interface for Emotions Detection.
Proceedings of the Advances in Computational Intelligence, 2021

ECG Quality Assessment via Deep Learning and Data Augmentation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems.
IEEE Trans. Educ., 2020

Nonlinear predictability analysis of brain dynamics for automatic recognition of negative stress.
Neural Comput. Appl., 2020

Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity.
Int. J. Neural Syst., 2020

Film mood induction and emotion classification using physiological signals for health and wellness promotion in older adults living alone.
Expert Syst. J. Knowl. Eng., 2020

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

Obstructive Sleep Apnea Detection Methods Based on Heart Rate Variability Analysis: Opportunities for a Future Cinc Challenge.
Proceedings of the Computing in Cardiology, 2020

Comparative Study of Convolutional Neural Networks for ECG Quality Assessment.
Proceedings of the Computing in Cardiology, 2020

A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs.
Proceedings of the Computing in Cardiology, 2020

Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings.
Proceedings of the Computing in Cardiology, 2020

2019
Multiscale Entropy Analysis for Recognition of Visually Elicited Negative Stress From EEG Recordings.
Int. J. Neural Syst., 2019

Multi-Lag Analysis of Symbolic Entropies on EEG Recordings for Distress Recognition.
Frontiers Neuroinformatics, 2019

Stress Identification from Electrodermal Activity by Support Vector Machines.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Emotion Detection in Aging Adults Through Continuous Monitoring of Electro-Dermal Activity and Heart-Rate Variability.
Proceedings of the Understanding the Brain Function and Emotions, 2019

2018
Neural Correlates of Phrase Quadrature Perception in Harmonic Rhythm: An EEG Study Using a Brain-Computer Interface.
Int. J. Neural Syst., 2018

Testing a New Methodology for Accelerating the Computation of Quadratic Sample Entropy in Emotion Recognition Systems.
Proceedings of the Ambient Intelligence, 2018

Multilag Extension of Quadratic Sample Entropy for Distress Recognition with EEG Recordings.
Proceedings of the Ambient Intelligence, 2018

2017
Electrodermal Activity Sensor for Classification of Calm/Distress Condition.
Sensors, 2017

Arousal level classification of the aging adult from electro-dermal activity: From hardware development to software architecture.
Pervasive Mob. Comput., 2017

Smart environment architecture for robust people detection by infrared and visible video fusion.
J. Ambient Intell. Humaniz. Comput., 2017

Neural Correlates of Phrase Rhythm: An EEG Study of Bipartite vs. Rondo Sonata Form.
Frontiers Neuroinformatics, 2017

Symbolic Analysis of Brain Dynamics Detects Negative Stress.
Entropy, 2017

Study of Electroencephalographic Signal Regularity for Automatic Emotion Recognition.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Nonlinear Methodologies Applied to Automatic Recognition of Emotions: An EEG Review.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Conditional Entropy Estimates for Distress Detection with EEG Signals.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Recent Advances and Challenges in Nonlinear Characterization of Brain Dynamics for Automatic Recognition of Emotional States.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

2016
Smart environment architecture for emotion detection and regulation.
J. Biomed. Informatics, 2016

Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings.
Entropy, 2016

ARISTARKO: A Software Framework for Physiological Data Acquisition.
Proceedings of the Ambient Intelligence - Software and Applications, 2016

EEG Mapping for Arousal Level Quantification Using Dynamic Quadratic Entropy.
Proceedings of the Ambient Intelligence - Software and Applications, 2016

Monitoring Electrodermal Activity for Stress Recognition Using a Wearable.
Proceedings of the Intelligent Environments 2016, 2016

2015
Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation.
Comput. Methods Programs Biomed., 2015

A Distributed Architecture for Multimodal Emotion Identification.
Proceedings of the Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability, 2015

Emotion Detection in Ageing Adults from Physiological Sensors.
Proceedings of the Ambient Intelligence - Software and Applications, 2015

Hierarchical Architecture for Robust People Detection by Fusion of Infrared and Visible Video.
Proceedings of the Intelligent Distributed Computing IX - Proceedings of the 9th International Symposium on Intelligent Distributed Computing, 2015

The Lagged Central Tendency Measure Applied to Assess P-wave Duration Variability Improves Paroxysmal Atrial Fibrillation Onset Prediction.
Proceedings of the Computing in Cardiology, 2015

Arousal Level Classification in the Ageing Adult by Measuring Electrodermal Skin Conductivity.
Proceedings of the Ambient Intelligence for Health - First International Conference, 2015

2013
Ventricular activity morphological characterization: Ectopic beats removal in long term atrial fibrillation recordings.
Comput. Methods Programs Biomed., 2013

2011
Detection and removal of ventricular ectopic beats in atrial fibrillation recordings via principal component analysis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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