Arturo Martínez-Rodrigo
Orcid: 0000-0003-2343-3186
According to our database1,
Arturo Martínez-Rodrigo
authored at least 57 papers
between 2011 and 2023.
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Bibliography
2023
Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation.
IEEE Access, 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
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
Proceedings of the Computing in Cardiology, 2020
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
Frontiers Neuroinformatics, 2019
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
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
Frontiers Neuroinformatics, 2017
Study of Electroencephalographic Signal Regularity for Automatic Emotion Recognition.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
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
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
J. Biomed. Informatics, 2016
Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings.
Entropy, 2016
Proceedings of the Ambient Intelligence - Software and Applications, 2016
Proceedings of the Ambient Intelligence - Software and Applications, 2016
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
Proceedings of the Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability, 2015
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