GONZALO CESAR
GUTIERREZ TOBAL
PROFESORA/PROFESOR PERMANENTE LABORAL
Hospital Universitario Pío del Río Hortega
Valladolid, EspañaPublicaciones en colaboración con investigadores/as de Hospital Universitario Pío del Río Hortega (63)
2024
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An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals
Biomedical Signal Processing and Control, Vol. 87
2023
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An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea
Computers in Biology and Medicine, Vol. 165
2022
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A convolutional neural network to classify sleep stages in pediatric sleep apnea from pulse oximetry signals
MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings
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Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep Apnea
Advances in experimental medicine and biology, Vol. 1384, pp. 131-146
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Deep-Learning Model Based on Convolutional Neural Networks to Classify Apnea-Hypopnea Events from the Oximetry Signal
Advances in experimental medicine and biology, Vol. 1384, pp. 255-264
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Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution
Sleep, Vol. 45, Núm. 2
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Oximetry Indices in the Management of Sleep Apnea: From Overnight Minimum Saturation to the Novel Hypoxemia Measures
Advances in experimental medicine and biology, Vol. 1384, pp. 219-239
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Reliability of machine learning to diagnose pediatric obstructive sleep apnea: Systematic review and meta-analysis
Pediatric Pulmonology, Vol. 57, Núm. 8, pp. 1931-1943
2021
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A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea
IEEE Journal of Biomedical and Health Informatics, Vol. 25, Núm. 8, pp. 2906-2916
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Bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea
Entropy, Vol. 23, Núm. 8
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Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis
Computers in Biology and Medicine, Vol. 129
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Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults
Applied Soft Computing, Vol. 111
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Erratum to: Martín-montero et al. bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea. entropy 2021, 23, 1016
Entropy
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Heart rate variability spectrum characteristics in children with sleep apnea
Pediatric Research, Vol. 89, Núm. 7, pp. 1771-1779
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Pediatric Sleep Apnea: The Overnight Electroencephalogram as a Phenotypic Biomarker
Frontiers in Neuroscience, Vol. 15
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Wavelet analysis of overnight airflow to detect obstructive sleep apnea in children
Sensors, Vol. 21, Núm. 4, pp. 1-19
2020
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A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow
Scientific Reports, Vol. 10, Núm. 1
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Assessment of airflow and oximetry signals to detect pediatric sleep Apnea-Hypopnea syndrome using AdaBoost
Entropy, Vol. 22, Núm. 6, pp. 670
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Assessment of nocturnal autonomic cardiac imbalance in positional obstructive sleep apnea. A multiscale nonlinear approach
Entropy, Vol. 22, Núm. 12, pp. 1-17
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Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS