Publicaciones en las que colabora con FERNANDO VAQUERIZO VILLAR (48)

2023

  1. 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

  2. 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

  3. 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

  4. Detección automática de la apnea del sueño infantil utilizando técnicas de deep learning y explainable artificial intelligence en señales de flujo aéreo

    CASEIB 2023. Libro de Actas del XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Contribuyendo a la salud basada en valor

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. Automated analysis of the oximetry signal to simplify the diagnosis of pediatric sleep apnea: from feature-engineering to deep-learning approaches

    Automated analysis of the oximetry signal to simplify the diagnosis of pediatric sleep apnea: from feature-engineering to deep-learning approaches

  3. 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

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

    Computers in Biology and Medicine, Vol. 129

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

    Applied Soft Computing, Vol. 111

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

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