Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Analysis of long-term electrocardiograms
Bazovský, Richard ; Hlaváč, Martin (oponent) ; Kolářová, Jana (vedoucí práce)
This work is devoted to methodology of long-term treatment (24 hour) ECG signal using Holter’s monitoring with regard to heart rate variability (HRV). Where HRV is observed distances between heart systole (R-Rwaves) following behind or addiction immediate heart rate. Consequently, these processes can be handled in two ways, either by analyzing the time or frequency domain (spectral range). Through evaluation of these waveforms will be possible to determine the condition status of the heart or type of heart failure. In the programming environment Matlab algorithm was developed for the processing of signals at the output which gives the needed results in the form of graphs (HRV) or the values of important parameters. The functionality of the program was tested on several signals and the obtained values were close to the standard.
Analysis of long-term electrocardiograms
Bazovský, Richard ; Hlaváč, Martin (oponent) ; Kolářová, Jana (vedoucí práce)
This work is devoted to methodology of long-term treatment (24 hour) ECG signal using Holter’s monitoring with regard to heart rate variability (HRV). Where HRV is observed distances between heart systole (R-Rwaves) following behind or addiction immediate heart rate. Consequently, these processes can be handled in two ways, either by analyzing the time or frequency domain (spectral range). Through evaluation of these waveforms will be possible to determine the condition status of the heart or type of heart failure. In the programming environment Matlab algorithm was developed for the processing of signals at the output which gives the needed results in the form of graphs (HRV) or the values of important parameters. The functionality of the program was tested on several signals and the obtained values were close to the standard.

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