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National Repository of Grey Literature

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	Noise suppression in ECG signal based on the empirical mode decomposition Hemzalová, Zuzana ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor) This thesis is focused on signal-filtering method based on empirici mode decomposition. The proposed EMD-based method is able power line interference to remove with minimum signal distortion. Detailed record
	Removing methods of power line interference in ECG signals Herodes, Jakub ; Janů, Joshua (referee) ; Smital, Lukáš (advisor) The thesis is comparing efficiency of digital linear and nonlinear filtration used for removing power line interference from ECG signals. For testing was used database of CSE, containing 3750 ECG signals. After adding simulated power line interference into the clear ECG signal come comparing the efficiency of filters by average output signal to noise ratio. Detailed record
	Noise suppression in ECG signal based on the empirical mode decomposition Hemzalová, Zuzana ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor) This thesis is focused on signal-filtering method based on empirici mode decomposition. The proposed EMD-based method is able power line interference to remove with minimum signal distortion. Detailed record
	Removing methods of power line interference in ECG signals Herodes, Jakub ; Janů, Joshua (referee) ; Smital, Lukáš (advisor) The thesis is comparing efficiency of digital linear and nonlinear filtration used for removing power line interference from ECG signals. For testing was used database of CSE, containing 3750 ECG signals. After adding simulated power line interference into the clear ECG signal come comparing the efficiency of filters by average output signal to noise ratio. Detailed record
	Removing Methods of Power Line Interference In ECG Signals Herodes, J. The paper deal with the efficiency of digital linear filtration of 12 types FIR and IIR filters used for removing power line interference from ECG signals. For testing was used database of CSE signals, containing 3750 ECG. Comparing of methods was programed in Matlab, the language of technical computing. Detailed record

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