Envíos recentes

  • Improving detection of apneic events by learning from examples and treatment of missing data 

    Hernández Pereira, Elena; Álvarez Estévez, Diego; Moret Bonillo, Vicente (I O S Press, 2014)
    [Abstract] This paper presents a comparative study over the respiratory pattern classification task involving three missing data imputation techniques, and four different machine learning algorithms. The main goal was to ...
  • Automatic detection of EEG arousals 

    Fernández Varela, Isaac; Hernández Pereira, Elena; Álvarez Estévez, Diego; Moret Bonillo, Vicente (ESANN, 2016-04-27)
    [Abstract] Fragmented sleep is commonly caused by arousals that can be detected with the observation of electroencephalographic (EEG) signals. As this is a time consuming task, automatization processes are required. ...
  • A Taxonomy-Based Usability Study of an Intelligent Speed Adaptation Device 

    Alonso Ríos, David; Mosquera Rey, Eduardo; Moret Bonillo, Vicente (Taylor & Francis Inc., 2014-04-04)
    [Abstract] Usability studies are often based on ad hoc definitions of usability. These studies can be difficult to generalize, they might have a steep learning curve, and there is always the danger of being inconsistent ...
  • A knowledge model for the development of a framework for hypnogram construction 

    Fernández Leal, Ángel; Cabrero-Canosa, Mariano; Mosquera Rey, Eduardo; Moret Bonillo, Vicente (Elsevier BV, 2017-02-15)
    [Abstract] We describe a proposal of a knowledge model for the development of a framework for hypnogram construction from intelligent analysis of pulmonology and electrophysiological signals. Throughout the twentieth ...
  • Spectral Heart Rate Variability analysis using the heart timing signal for the screening of the Sleep Apnea–Hypopnea Syndrome 

    Álvarez Estévez, Diego; Moret Bonillo, Vicente (Pergamon Press, 2016-04-01)
    [Abstract] Some approaches have been published in the past using Heart Rate Variability (HRV) spectral features for the screening of Sleep Apnea–Hypopnea Syndrome (SAHS) patients. However there is a big variability among ...

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