Publicaciones en colaboración con investigadores/as de Hospital Universitario Pío del Río Hortega (116)

2024

  1. An explainable deep-learning architecture for pediatric sleep apnea identification from overnight airflow and oximetry signals

    Biomedical Signal Processing and Control, Vol. 87

2023

  1. 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

  2. Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry

    Nature Communications, Vol. 14, Núm. 1

  3. Sleep-disordered breathing: Diagnosis

    Sleep Medicine: A Comprehensive Guide for Transitioning Pediatric to Adult Care (Springer International Publishing), pp. 69-95

2022

  1. A convolutional neural network to classify sleep stages in pediatric sleep apnea from pulse oximetry signals

    MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings

  2. Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep Apnea

    Advances in experimental medicine and biology, Vol. 1384, pp. 131-146

  3. 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

  4. Diagnosis of Obstructive Sleep Apnea in Patients with Associated Comorbidity

    Advances in experimental medicine and biology, Vol. 1384, pp. 43-61

  5. Heart rate variability as a potential biomarker of pediatric obstructive sleep apnea resolution

    Sleep, Vol. 45, Núm. 2

  6. N-antigenemia detection by a rapid lateral flow test predicts 90-day mortality in COVID-19: A prospective cohort study

    Clinical Microbiology and Infection, Vol. 28, Núm. 10, pp. 1391.e1-1391.e5

  7. 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

  8. 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

  1. 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

  2. Bispectral analysis of heart rate variability to characterize and help diagnose pediatric sleep apnea

    Entropy, Vol. 23, Núm. 8

  3. Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis

    Computers in Biology and Medicine, Vol. 129

  4. Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use

    npj Digital Medicine, Vol. 4, Núm. 1

  5. Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults

    Applied Soft Computing, Vol. 111

  6. 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

  7. From sleep medicine to medicine during sleep

    Physiological Measurement, Vol. 42, Núm. 12

  8. Heart rate variability spectrum characteristics in children with sleep apnea

    Pediatric Research, Vol. 89, Núm. 7, pp. 1771-1779