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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
PSG-Based Classification of Sleep Phases
 Králík, M.
This work is focused on classification of sleep phases using artificial neural network. The unconventional approach was used for calculation of classification features using polysomnographic data (PSG) of real patients. This approach allows to increase the time resolution of the analysis and, thus, to achieve more accurate results of classification.
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