Listar por autor "Fernández-Varela, Isaac"

Mostrando ítems 1-5 de 5

    • A Convolutional Network for Sleep Stages Classification 

      Fernández-Varela, Isaac; Hernández-Pereira, Elena; Alvarez-Estevez, Diego; Moret-Bonillo, Vicente (2019-02)
      [Abstract]: Sleep stages classification is a crucial task in the context of sleep studies. It involves the simultaneous analysis of multiple signals recorded during sleep. However, it is complex and tedious, and even the ...

    • 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 systematic approach to API usability: Taxonomy-derived criteria and a case study 

      Mosqueira-Rey, E.; Alonso Ríos, David; Moret-Bonillo, Vicente; Fernández-Varela, Isaac; Álvarez-Estévez, Diego (Elsevier B.V., 2018-05)
      [Abstract]: CONTEXT. The currently existing literature about Application Program Interface (API) usability is heterogeneous in terms of goals, scope, and audience; and its connection to accepted definitions of usability ...

    • Algorithms for Sleep Medicine 

      Fernández-Varela, Isaac (2019)
      [Abstract] Sleep disorders a ect a signi cant part of our population causing problems that go from daytime sleepiness to severe, life-threatening conditions. Fortunately, physicians can diagnose them and propose a treatment ...

    • 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. ...