Hospital Universitario Pío del Río Hortega -ko ikertzaileekin lankidetzan egindako argitalpenak (80)

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. 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

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

    Applied Soft Computing, Vol. 111

  5. 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

  6. From sleep medicine to medicine during sleep

    Physiological Measurement, Vol. 42, Núm. 12

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

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

  8. Pediatric Sleep Apnea: The Overnight Electroencephalogram as a Phenotypic Biomarker

    Frontiers in Neuroscience, Vol. 15

  9. Risk models for predicting in-hospital mortality from COVID-19 pneumonia in the elderly

    Emergencias, Vol. 33, Núm. 4, pp. 282-291

  10. Wavelet analysis of overnight airflow to detect obstructive sleep apnea in children

    Sensors, Vol. 21, Núm. 4, pp. 1-19

2020

  1. A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow

    Scientific Reports, Vol. 10, Núm. 1

  2. Assessment of airflow and oximetry signals to detect pediatric sleep Apnea-Hypopnea syndrome using AdaBoost

    Entropy, Vol. 22, Núm. 6, pp. 670

  3. Assessment of nocturnal autonomic cardiac imbalance in positional obstructive sleep apnea. A multiscale nonlinear approach

    Entropy, Vol. 22, Núm. 12, pp. 1-17

  4. Network Analysis on Overnight EEG Spectrum to Assess Relationships Between Paediatric Sleep Apnoea and Cognition

    IFMBE Proceedings

  5. Study of the Adherence to continuous positive airway pressure Treatment in Patients with Obstructive Sleep Apnea Syndrome in the Confinement During the COVID-19 Pandemic

    Archivos de Bronconeumologia, Vol. 56, Núm. 12, pp. 818-819