FELIX DEL
CAMPO MATIA
Investigador en el periodo 1996-2023
![Foto de David](/img/nophoto.png)
David
Gozal
Publicaciones en las que colabora con David Gozal (45)
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
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Sleep-disordered breathing: Diagnosis
Sleep Medicine: A Comprehensive Guide for Transitioning Pediatric to Adult Care (Springer International Publishing), pp. 69-95
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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Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution
Sleep, Vol. 45, Núm. 2
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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
2020
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Análisis del flujo aéreo nocturno mediante wavelets para la ayuda en el diagnóstico de la apnea del sueño infantil
XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas
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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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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