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National Repository of Grey Literature 13 records found  previous11 - 13  jump to record: Search took 0.01 seconds. 
Automatic sleep scoring using polysomnographic data
 Vávrová, Eva ; Potočňák, Tomáš (referee) ; Ronzhina, Marina (advisor)
The thesis is focused on analysis of polysomnographic signals based on extraction of chosen parameters in time, frequency and time-frequency domain. The parameters are acquired from 30 seconds long segments of EEG, EMG and EOG signals recorded during different sleep stages. The parameters used for automatic classification of sleep stages are selected according to statistical analysis. The classification is realized by artificial neural networks, k-NN classifier and linear discriminant analysis. The program with a graphical user interface was created using Matlab.
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Classification of sleep phases using polysomnographic data
 Králík, Martin ; Kozumplík, Jiří (referee) ; Ronzhina, Marina (advisor)
Aim of this thesis is the classification of polysomnographic data. The first part of the thesis is a review of mentioned topic and also the statistical analysis of classification features calculated from real EEG, EOG and EMG for evaluating of the features suitability for sleep stages scoring. The second part is focused on the automatic classification of the data using artificial neural networks. All the results are presented and discussed.
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Sleep Habits and Diurnal Rhytms in Different Age Male Groups - till 30 years.
 SEBERA, Jaromír
This bachelor´s work follows the sleep, sleep states and processes, which happen in the brain during the sleep and circadian rhythms of a person. Main task of this work is the study of the sleep rhythms in contemporary population of men at the age to 30. I come from the knowledge of present research. For the 1st time this research was made in Japan, at the university in Kochi and then it was held in the Czech Republic at the South- Bohemian University in Czech Budweis, at the Department of Health Education.
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