Hugo F. Posada-Quintero
Orcid: 0000-0003-4514-4772
According to our database1,
Hugo F. Posada-Quintero
authored at least 49 papers
between 2012 and 2024.
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Bibliography
2024
EDA-Graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection.
IEEE J. Biomed. Health Informatics, August, 2024
Detecting Psychological Interventions Using Bilateral Electromyographic Wearable Sensors.
Sensors, March, 2024
Automatic motion artifact detection in electrodermal activity signals using 1D U-net architecture.
Comput. Biol. Medicine, 2024
Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition.
IEEE Access, 2024
Autoencoder Based Nonlinear Feature Extraction from EDA Signals for Emotion Recognition.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024
Electrodermal Activity on the Torso: Identification of Locations for Wearable Belt Monitors.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024
2023
Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity.
IEEE J. Biomed. Health Informatics, September, 2023
Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction.
Neural Networks, August, 2023
A literature embedding model for cardiovascular disease prediction using risk factors, symptoms, and genotype information.
Expert Syst. Appl., March, 2023
Differentiating between stress- and EPT-induced electrodermal activity during dental examination.
Comput. Biol. Medicine, March, 2023
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
Spectral analysis of Electroretinography to differentiate autism spectrum disorder and attention deficit hyperactivity disorder.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
Deep Learning Analysis of Electrophysiological Series for Continuous Emotional State Detection.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023
2022
A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity.
IEEE Trans. Biomed. Eng., 2022
Design and Validation of a Multimodal Wearable Device for Simultaneous Collection of Electrocardiogram, Electromyogram, and Electrodermal Activity.
Sensors, 2022
Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices' Quality and Robustness against Motion Artifact.
Sensors, 2022
Autonomic Nervous System characterization in hyperbaric environments considering respiratory component and non-linear analysis of Heart Rate Variability.
Comput. Methods Programs Biomed., 2022
Automatic motion artifact detection in electrodermal activity data using machine learning.
Biomed. Signal Process. Control., 2022
Biomed. Signal Process. Control., 2022
Detecting Autism Spectrum Disorder Using Spectral Analysis of Electroretinogram and Machine Learning: Preliminary results.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity Signals: A Preliminary Study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Towards Continuous Acute Pain Detection using Deep Learning and Electrodermal Activity.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Sensitive Physiological Indices of Pain Based on Differential Characteristics of Electrodermal Activity.
IEEE Trans. Biomed. Eng., 2021
Real-Time High-Level Acute Pain Detection Using a Smartphone and a Wrist-Worn Electrodermal Activity Sensor.
Sensors, 2021
Machine-Learning-Based Closed-Set Text-Independent Speaker Identification Using Speech Recorded During 25 Hours of Prolonged Wakefulness.
IEEE Access, 2021
Time-varying Spectral Index of Electrodermal Activity to Predict Central Nervous System Oxygen Toxicity Symptoms in Divers: Preliminary results.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Preliminary Analysis of the Risk Factor Identification Embedding Model for Cardiovascular Disease.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Female-male Differences Should be Considered in Physical Pain Quantification based on Electrodermal Activity: Preliminary Study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Preliminary Study on Automatic Motion Artifact Detection in Electrodermal Activity Data Using Machine Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review.
Sensors, 2020
Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face Tracking.
Frontiers Artif. Intell., 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Analysis of Reproducibility of Noninvasive Measures of Sympathetic Autonomic Control Based on Electrodermal Activity and Heart Rate Variability.
IEEE Access, 2019
Phasic Component of Electrodermal Activity is more Correlated to Brain Activity than Tonic Component.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Analysis of Consistency of Transthoracic Bioimpedance Measurements Acquired with Dry Carbon Black PDMS Electrodes, Adhesive Electrodes, and Wet Textile Electrodes.
Sensors, 2018
Human Performance Deterioration Due to Prolonged Wakefulness Can Be Accurately Detected Using Time-Varying Spectral Analysis of Electrodermal Activity.
Hum. Factors, 2018
On the Use of Neuroevolutive Methods as Support Tools for Diagnosing Appendicitis and Tuberculosis.
Proceedings of the Applied Computer Sciences in Engineering, 2018
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018
Preliminary results on transthoracic bioimpedance measurements with a variety of electrode materials.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Testing the need for carbon in salt/adhesive electrodes for surface electromyography measurements: Preliminary results.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2014
Performance evaluation of carbon black based electrodes for underwater ECG monitoring.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2012
Proceedings of the 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012