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Comparing of the parameters for the determination of cardiac dyssynchrony from the ultra-high-frequency electrocardiogram
Jančová, Ivana ; Viščor,, Ivo (referee) ; Jurák, Pavel (advisor)
This thesis deals with the analysis of high-frequency ECG, namely by parameters for the determination of cardiac asynchrony from the amplitude envelopes ultra-high-frequency ECG. In the theoretical part is described the conventional and high-frequency ECG, procedure of their scanning and parameters of the acquired record. Also is described the electrical conduction system of the heart and its blockade. This issue is followed by chapters about cardiac asynchrony and its treatments by biventricular pacemaker – resynchronization therapy. The chapter about resynchronization includes a description of the methods used for the indication for therapy based on conventional and high-frequency ECG. In the practical part are proposed new parameters for determining heart asynchrony from high-frequency ECG, programmed their detection in environment MATLAB and described realization of detection and obtained results. In the last part of thesis is described statistical evaluation of data and is decided about suitability of use the proposed parameters.
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Automated Detection of graphic elements in EEG signal
Jančová, Ivana ; Ronzhina, Marina (referee) ; Bubník, Karel (advisor)
This thesis deals with the analysis of EEG, namely detection of graphic elements. The aim of the thesis is to describe methods suitable for detection of graphic elements and implementation of the two methods in MATLAB. The first part of the thesis describes the basics rhythms, artifacts and epileptiform transients occurring in the EEG. The second part deals with the methods of detection and their mutual comparison. The discussed methods are spectral analysis, correlation analysis, wavelet transform, cluster analysis and matched filter. Other parts of the thesis describe the database PhysioBank and implementation of the correlation analysis and matched filter. In the last part is the comparison of the success of selected methods and comparison is done by calculating sensitivity and positive predictive value.
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Automated Detection of graphic elements in EEG signal
Jančová, Ivana ; Ronzhina, Marina (referee) ; Bubník, Karel (advisor)
This thesis deals with the analysis of EEG, namely detection of graphic elements. The aim of the thesis is to describe methods suitable for detection of graphic elements and implementation of the two methods in MATLAB. The first part of the thesis describes the basics rhythms, artifacts and epileptiform transients occurring in the EEG. The second part deals with the methods of detection and their mutual comparison. The discussed methods are spectral analysis, correlation analysis, wavelet transform, cluster analysis and matched filter. Other parts of the thesis describe the database PhysioBank and implementation of the correlation analysis and matched filter. In the last part is the comparison of the success of selected methods and comparison is done by calculating sensitivity and positive predictive value.
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Comparing of the parameters for the determination of cardiac dyssynchrony from the ultra-high-frequency electrocardiogram
Jančová, Ivana ; Viščor,, Ivo (referee) ; Jurák, Pavel (advisor)
This thesis deals with the analysis of high-frequency ECG, namely by parameters for the determination of cardiac asynchrony from the amplitude envelopes ultra-high-frequency ECG. In the theoretical part is described the conventional and high-frequency ECG, procedure of their scanning and parameters of the acquired record. Also is described the electrical conduction system of the heart and its blockade. This issue is followed by chapters about cardiac asynchrony and its treatments by biventricular pacemaker – resynchronization therapy. The chapter about resynchronization includes a description of the methods used for the indication for therapy based on conventional and high-frequency ECG. In the practical part are proposed new parameters for determining heart asynchrony from high-frequency ECG, programmed their detection in environment MATLAB and described realization of detection and obtained results. In the last part of thesis is described statistical evaluation of data and is decided about suitability of use the proposed parameters.
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