National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
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.
Evolution algorithms for ultrasound perfusion analysis
Hemzalová, Zuzana ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This thesis deals with the principles of ultrasonic perfusion analysis and methods for determining perfusion parameters. It examines Evolutionary algorithms and their ability to optimize the approximation of dilution curves from ultrasond tissue scannig. It compares the optimization performance of three evolutionary algorithms. Continuous genetic algorithm GA, algorithm SOMA and PSO. Methods are evaluated on simulated and clinical data.
Evolution algorithms for ultrasound perfusion analysis
Hemzalová, Zuzana ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This thesis deals with the principles of ultrasonic perfusion analysis and methods for determining perfusion parameters. It examines Evolutionary algorithms and their ability to optimize the approximation of dilution curves from ultrasond tissue scannig. It compares the optimization performance of three evolutionary algorithms. Continuous genetic algorithm GA, algorithm SOMA and PSO. Methods are evaluated on simulated and clinical data.
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.

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