Publikationen in Zusammenarbeit mit Forschern von Hospital Universitario Pío del Río Hortega (28)

2022

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

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

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. 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

  5. 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 nocturnal autonomic cardiac imbalance in positional obstructive sleep apnea. A multiscale nonlinear approach

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

  3. Characterization of the dynamic behavior of neural activity in Alzheimer's disease: Exploring the non-stationarity and recurrence structure of EEG resting-state activity

    Journal of Neural Engineering, Vol. 17, Núm. 1

  4. Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis

    Computer Methods and Programs in Biomedicine, Vol. 183

2019

  1. Characterization of EEG Resting-state Activity in Alzheimer's Disease by Means of Recurrence Plot Analyses

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  2. 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

  3. 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

  4. 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

  1. 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

  2. Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea-hypopnoea syndrome diagnosis

    Physiological Measurement, Vol. 39, Núm. 11

  3. Improving the Diagnostic Ability of Oximetry Recordings in Pediatric Sleep Apnea-Hypopnea Syndrome by Means of Multi-Class AdaBoost

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  4. Pulse rate variability analysis to enhance oximetry as at-home alternative for sleep apnea diagnosing

    IFMBE Proceedings

  5. Symbolic dynamics to enhance diagnostic ability of portable oximetry from the Phone Oximeter in the detection of paediatric sleep apnoea

    Physiological Measurement, Vol. 39, Núm. 10

  6. Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings

    Computer Methods and Programs in Biomedicine, Vol. 156, pp. 141-149