"1"^^ . . "Sadovsk\u00FD, Petr" . . . "Human slpeep EEG analysis"@en . "Pr\u00E1ce se zab\u00FDv\u00E1 anal\u00FDzou a zpracov\u00E1n\u00EDm sp\u00E1nkov\u00FDch sign\u00E1l\u016F EEG. Problematika, kter\u00E1 je v n\u00ED zpracov\u00E1na se d\u00E1 rozd\u011Blit do n\u011Bkolika hlavn\u00EDch oblast\u00ED. Prvn\u00ED oblast se v\u011Bnuje anal\u00FDze sign\u00E1l\u016F EEG metodou nez\u00E1visl\u00FDch komponent. Na z\u00E1klad\u011B specifikace t\u00E9to metody anal\u00FDzy je navr\u017Een a pops\u00E1n line\u00E1rn\u00ED model vzniku sign\u00E1l\u016F EEG. D\u00E1le je podrobn\u011B rozpracov\u00E1no posouzen\u00ED podm\u00EDnek, za kter\u00FDch jsou informace z\u00EDskan\u00E9 anal\u00FDzou platn\u00E9. Dal\u0161\u00ED \u010D\u00E1st se v\u011Bnuje vyu\u017Eit\u00ED metody nez\u00E1visl\u00FDch komponent k odstran\u011Bn\u00ED nedeterministick\u00FDch artefakt\u016F ze sign\u00E1l\u016F EEG. Druhou hlavn\u00ED oblast\u00ED je anal\u00FDza stacionarity sp\u00E1nkov\u00FDch sign\u00E1l\u016F EEG, hled\u00E1n\u00ED stacion\u00E1rn\u00EDch \u00FAsek\u016F sign\u00E1l\u016F a anal\u00FDza statistick\u00FDch vlastnost\u00ED t\u011Bchto stacion\u00E1rn\u00EDch \u00FAsek\u016F. Dal\u0161\u00ED oblast je zam\u011B\u0159ena na spektr\u00E1ln\u00ED anal\u00FDzu sp\u00E1nkov\u00FDch sign\u00E1l\u016F EEG. V t\u00E9to oblasti jsou analyzov\u00E1ny d\u011Bje, kter\u00E9 se pod\u00EDl\u00ED na vzniku konkr\u00E9tn\u00EDch spekter sign\u00E1l\u016F EEG. Je zde tak\u00E9 provedena anal\u00FDza stoch" . . "RIV/00216305:26220/08:PU76316!RIV10-MSM-26220___" . "Anal\u00FDza sp\u00E1nkov\u00E9ho EEG"@cs . "1"^^ . "RIV/00216305:26220/08:PU76316" . . "Anal\u00FDza sp\u00E1nkov\u00E9ho EEG" . "Pr\u00E1ce se zab\u00FDv\u00E1 anal\u00FDzou a zpracov\u00E1n\u00EDm sp\u00E1nkov\u00FDch sign\u00E1l\u016F EEG. Problematika, kter\u00E1 je v n\u00ED zpracov\u00E1na se d\u00E1 rozd\u011Blit do n\u011Bkolika hlavn\u00EDch oblast\u00ED. Prvn\u00ED oblast se v\u011Bnuje anal\u00FDze sign\u00E1l\u016F EEG metodou nez\u00E1visl\u00FDch komponent. Na z\u00E1klad\u011B specifikace t\u00E9to metody anal\u00FDzy je navr\u017Een a pops\u00E1n line\u00E1rn\u00ED model vzniku sign\u00E1l\u016F EEG. D\u00E1le je podrobn\u011B rozpracov\u00E1no posouzen\u00ED podm\u00EDnek, za kter\u00FDch jsou informace z\u00EDskan\u00E9 anal\u00FDzou platn\u00E9. Dal\u0161\u00ED \u010D\u00E1st se v\u011Bnuje vyu\u017Eit\u00ED metody nez\u00E1visl\u00FDch komponent k odstran\u011Bn\u00ED nedeterministick\u00FDch artefakt\u016F ze sign\u00E1l\u016F EEG. Druhou hlavn\u00ED oblast\u00ED je anal\u00FDza stacionarity sp\u00E1nkov\u00FDch sign\u00E1l\u016F EEG, hled\u00E1n\u00ED stacion\u00E1rn\u00EDch \u00FAsek\u016F sign\u00E1l\u016F a anal\u00FDza statistick\u00FDch vlastnost\u00ED t\u011Bchto stacion\u00E1rn\u00EDch \u00FAsek\u016F. Dal\u0161\u00ED oblast je zam\u011B\u0159ena na spektr\u00E1ln\u00ED anal\u00FDzu sp\u00E1nkov\u00FDch sign\u00E1l\u016F EEG. V t\u00E9to oblasti jsou analyzov\u00E1ny d\u011Bje, kter\u00E9 se pod\u00EDl\u00ED na vzniku konkr\u00E9tn\u00EDch spekter sign\u00E1l\u016F EEG. Je zde tak\u00E9 provedena anal\u00FDza stoch"@cs . "Z(MSM0021630503)" . . . . . . . "Anal\u00FDza sp\u00E1nkov\u00E9ho EEG"@cs . . "[057FED9FEE77]" . . . . "Anal\u00FDza sp\u00E1nkov\u00E9ho EEG" . . "Electroencephalogram, EEG, Independent Component Analysis, ICA, Digital Filtration, Human sleep EEG analysis, Stationarity of human sleep EEG, Spectral analysis of human sleep EEG"@en . . . "Human slpeep EEG analysis"@en . "356171" . "This thesis deals with analysis and processing of the Sleep Electroencephalogram (EEG) signals. The scope of this thesis can be split into several areas. The first area is application of the Independent Component Analysis (ICA) method for EEG signal analysis. A~model of EEG signal formation is proposed and conditions under which this model is valid are examined. It is shown that ICA can be used to remove non-deterministic artifacts contained in the EEG signals. The second area of interest is analysis of stationarity of the Sleep EEG signal. Methods to identify stationary signal segments and to analyze statistical properties of these stationary segments are presented. The third area of interest focuses on spectral analysis of the Sleep EEG signals. Analyses are performed that shows the processes that form particular parts of EEG signals spectrum. Also, random signals that are an integral part of the EEG signals analysis are performed. The last area of interest focuses on elimination of the transition p"@en . . "26220" . .