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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Automatic detection of K-complexes in sleep EEG signals
 Pecníková, Michaela ; Ronzhina, Marina (referee) ; Kozumplík, Jiří (advisor)
This paper addresses the problem of detecting K-complexes in sleep EEG. The study of sleep has become very essential to diagnose the brain disorders and analysis of brain activities. Since Kcomplex can have a wide variety of shapes it is very difficult to detect the K-complexes manually. In this paper, I present an automatic method for K-complexes detection based wavelet transform,TKEO and method for classification using feedforward multilayer neural network designed in Matlab. Detection performance reached the value approx. from 52,9 to 83,6 %.
Detailed record
Automatic detection of K-complexes in sleep EEG signals
 Pecníková, Michaela ; Ronzhina, Marina (referee) ; Kozumplík, Jiří (advisor)
This paper addresses the problem of detecting K-complexes in sleep EEG. The study of sleep has become very essential to diagnose the brain disorders and analysis of brain activities. Since Kcomplex can have a wide variety of shapes it is very difficult to detect the K-complexes manually. In this paper, I present an automatic method for K-complexes detection based wavelet transform,TKEO and method for classification using feedforward multilayer neural network designed in Matlab. Detection performance reached the value approx. from 52,9 to 83,6 %.
Detailed record

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