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Automatická detekce K-komplexů ve spánkových signálech EEG / Automatic detection of K-complexes in sleep EEG signals

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 %.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:242089
Date January 2016
CreatorsPecníková, Michaela
ContributorsRonzhina, Marina, Kozumplík, Jiří
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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