Now showing items 1-12 of 12

    • A comparison of performance of K-complex classification methods using feature selection 

      Hernández-Pereira, Elena; Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente; Alonso-Betanzos, Amparo (2016-01-20)
      [Abstract] The main objective of this work is to obtain a method that achieves the best accuracy results with a low false positive rate in the classification of K-complexes, a kind of transient waveform found in the ...
    • A computational system for the Heuristic Forecasting of Fire Risk 

      Moret-Bonillo, Vicente; Cabrero-Canosa, Mariano; Mosqueira-Rey, Eduardo; Carballal Mato, Elena; Piñeiro, M.; Kolev, S.; Galiñares, A.V.; Paz Andrade, M.J.; Carballas, Tarsy (International Institute of Informatics and Systemics, 2002-07)
      This article describes a computational system which forecasts the potential risk of forest fires, by processing a set of meteorological variables so as to produce a fire weather risk index. The system also studies a set ...
    • A convolutional network for the classification of sleep stages 

      Fernández-Varela, Isaac; Hernández-Pereira, Elena; Moret-Bonillo, Vicente (M D P I AG, 2018-09-14)
      [Abstract] The classification of sleep stages is a crucial task in the context of sleep medicine. It involves the analysis of multiple signals thus being tedious and complex. Even for a trained physician scoring a whole ...
    • 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 ...
    • 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 ...
    • Automatic classification of respiratory patterns involving missing data imputation techniques 

      Hernández-Pereira, Elena; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (Academic Press, 2015-10)
      [Abstract] A comparative study of the respiratory pattern classification task, involving five missing data imputation techniques and several machine learning algorithms is presented in this paper. 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. ...
    • Commentaries on Viewpoint: The ongoing need for good physiological investigation: Obstructive sleep apnea in HIV patients as a paradigm 

      Zuo, Li; Jouett, Noah P.; Eugenín, Jaime; Figueiredo Müller-Ribeiro, Flávia Camargos de; Cysique, Lucette A.; Fernández Tellez, Helio; Perlitz, Volker; Nieman, Gary; Hemmelgarn, Benjamin T.; Smith, Michael L.; Beltrán-Castillo, Sebastián; Bernhardi, Rommy von; Ribeiro-Marins, Fernanda; Peliky Fontes, Marco Antônio; Gandevia, Simon C.; Mekjavic, Igor B.; Kerkhof, Peter L. M.; Munck, Jan de; Moret-Bonillo, Vicente; Gatto, Louis A. (American Physiological Society, 2015-01-15)
      [Abstract] The intriguing paradigm put forth by Darquenne et al. (3) highlighted that improved therapy against human immunodeficiency virus (HIV) has come at the cost of elevated rates of chronic diseases, such as obstructive ...
    • Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review 

      Moret-Bonillo, Vicente; Álvarez-Estévez, Diego (Hindawi Publishing Corporation, 2015)
      Automatic diagnosis of the Sleep Apnea-Hypopnea Syndrome (SAHS) has become an important area of research due to the growing interest in the field of sleep medicine and the costs associated with its manual diagnosis. The ...
    • 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 ...
    • Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndrome 

      Moret-Bonillo, Vicente; Álvarez-Estévez, Diego; Fernández-Leal, Ángel; Hernández-Pereira, Elena (Bentham Open, 2014-06-13)
      This work deals with the development of an intelligent approach for clinical decision making in the diagnosis of the Sleep Apnea/Hypopnea Syndrome, SAHS, from the analysis of respiratory signals and oxygen saturation in ...
    • 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 ...