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Showing 1 to 4 of 4 for “"Svefnrannsóknir"”.

  1. Representation learning for multivariate time series : artefact analysis on sleep recordings

    The application of machine learning is becoming a major area of interest within the field of sleep science. The domain of sleep science is shifting, due to the automation machine learning introduces. Automatic analyses are vital to minimise diagnostic time and provide as many people as possible …

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  2. Evaluation of an accessible automatic sleep spindle detector

    An important component of sleep medicine is assessing a patient’s polysomnogram, which includes sleep staging. The American Academy of Sleep Medicine (AASM) requires that sleep staging must take into account the number of sleep spindles, a short burst of neural oscillatory activity, demonstrating …

    reykjavik Repository record for Evaluation of an accessible automatic sleep spindle detector (opens in a new tab)

  3. Analysis and detection of obstructive apnea in individual breath cycles

    Vaxandi samstaða vísindamanna á sviði svefnrannsókna er að kæfisvefn sé röskun sem hrjáir stóran hluta fólks. Kæfisvefn veldur fjölda neikvæðra heilsufarslegra áhrifa, þar á meðal einkenna eins og mikla syfju yfir daginn. Til að greina kæfisvefn eru sjúklingar settir í svefnrannsókn. …

    reykjavik Repository record for Analysis and detection of obstructive apnea in individual breath cycles (opens in a new tab)

  4. Using telecommunication to teach parents how to improve their child´s sleep

    Many children experience sleep problems which can affect their and their parents mental and physical health (Koulouglioti et al., 2008; ; Martin et al., 2007; Meltzer & Mindell, 2007; O’Brien, 2011). These problems can become chronic if not treated (Kataria et al., 1987; Zuckerman et al., 1987). A …

    reykjavik Repository record for Using telecommunication to teach parents how to improve their child´s sleep (opens in a new tab)