FERNANDO
VAQUERIZO VILLAR
Chercheur dans le période 2015-2023
Hospital Universitario Pío del Río Hortega
Valladolid, EspañaPublications en collaboration avec des chercheurs de Hospital Universitario Pío del Río Hortega (35)
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
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Derivation and validation of a blood biomarker score for 2-day mortality prediction from prehospital care: a multicenter, cohort, EMS-based study
Internal and Emergency Medicine, Vol. 18, Núm. 6, pp. 1797-1806
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
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 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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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 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
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Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis
Computer Methods and Programs in Biomedicine, Vol. 183
2019
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Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2019, pp. 3555-3558
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Influence of chronic obstructive pulmonary disease and moderate-to-severe sleep apnoea in overnight cardiac autonomic modulation: Time, frequency and non-linear analyses
Entropy, Vol. 21, Núm. 4
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Usefulness of Spectral Analysis of Respiratory Rate Variability to Help in Pediatric Sleep Apnea-Hypopnea Syndrome Diagnosis
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2018
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Bispectral Analysis to Enhance Oximetry as a Simplified Alternative for Pediatric Sleep Apnea Diagnosis
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS