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    Sleep Staging Using Deep Neural Networks

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    Braun, Fabian; Renevey, Philippe; Van Zaen, Jérôme; Lemkaddem, Alia; Türetken, Engin; Dunbar, Andrea; Delgado-Gonzalo, Ricard; Lemay, Mathieu; De Jaegere, Kurt; Horvath, Christian M.; Roth Wälti, Corinne; Brill, Anne-Kathrin; Ott, Sebastian R.
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    Abstract
    Polysomnography (PSG) is the current state of the art for sleep staging but has several drawbacks: it requires a multitude of sensors and needs experienced technicians, which makes it expensive. It is further not suited for long-term monitoring in ambulatory environments [1]. Recent advances in optical heart rate monitoring allow for devices which are low-cost and suitable for ambulatory sleep staging. Even though not expected to completely replace PSG, such devices would allow for reliable pre-screening of several consecutive nights of larger populations.
    Publication Reference
    ASMT'19, Ascona (Switzerland), pp. 36
    Year
    2019-10
    URI
    https://yoda.csem.ch/handle/20.500.12839/956
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