Prediction of reported sleep quality based on physiological markers as measured with PSG
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2016-09-30
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en
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Abstract
In sleep research, the relationship between objective and subjective
scores of sleep quality is still an open question. In particular, sleep
patterns change naturally during pregnancy. In this study, we analyze
sixty three nocturnal sleep data from 39 women, pregnant in their second
and third trimester, collected in an earlier study at Philips. The data
consists of various polysomnographic measures as well as Groningen
Sleep Quality Scale (GSQS) questionnaire evaluation. A combination
of two sets of hand-crafted and EEG features directly extracted by convolutional
neural network (CNN) has been used to find subjective relevant
features in the data.
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Faculteit der Sociale Wetenschappen