FELIX DEL
CAMPO MATIA
Investigador en el període 1996-2023
ROBERTO
HORNERO SANCHEZ
CATEDRATICOS DE UNIVERSIDAD
Publicacions en què col·labora amb ROBERTO HORNERO SANCHEZ (106)
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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A deep learning model based on the combination of convolutional and recurrent neural networks to enhance pulse oximetry ability to classify sleep stages in children with sleep apnea
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2023, pp. 1-4
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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 2D convolutional neural network to detect sleep apnea in children using airflow and oximetry
Computers in biology and medicine, Vol. 147, pp. 105784
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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
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Slow EEG Oscillation to Characterize Pediatric Sleep Apnea and Associated Cognitive Impairments
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2022, pp. 2957-2960
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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Automatic Sleep Staging in Children with Sleep Apnea using Photoplethysmography and Convolutional Neural Networks
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2021, pp. 216-219
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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