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Detection of ventricular extrasystoles
Svánovská, Zuzana ; Mézl, Martin (referee) ; Sekora, Jiří (advisor)
Ventricular extrasystoles are pathological changes in the ECG signal. Detection of ventricular extrasystoles on 12leads ECG was created in MATLAB. My work contains two algorithms. The first of these algorithms is based on comparision wides of QRS komplexes. The second algorithm matchs maximum and minimum evaluations of QRS komplexes. We look for agreements beetween these two algorithms and finally if we find these agreenments in seven leads at least we will suppose presence of ventricular extrasystoles.
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Cluster Analysis
Chrobák, Martin ; Ronzhina, Marina (referee) ; Kozumplík, Jiří (advisor)
This master’s thesis is engaged in usage of cluster analysis for ECG signal to separate normal QRS complexes from abnormal ones. For this, it is used two algorithms created in professional computing interface MATLAB. The outputs from this master’s thesis are dendrograms, which divide QRS complexes into abnormal and normal clusters, and Pearson correlation coefficients.
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Measurement of HRV and consideration of physical load
Vyskočilová, Martina ; Kolář, Radim (referee) ; Janoušek, Oto (advisor)
This work examines the influence of load on heart rate variability, and a description of the mechanisms influencing changes in heart rate, response to load. There is a review of methods used to assess heart rate variability. In another part the data of the measurement are processed and described the proposed method using spectral power, generated by the algorithm description, presentation of results.
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Measurement of HRV and consideration of physical load
Vyskočilová, Martina ; Kolář, Radim (referee) ; Janoušek, Oto (advisor)
This work examines the influence of load on heart rate variability, and a description of the mechanisms influencing changes in heart rate, response to load. There is a review of methods used to assess heart rate variability. In another part the data of the measurement are processed and described the proposed method using spectral power, generated by the algorithm description, presentation of results.
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Detection of ventricular extrasystoles
Svánovská, Zuzana ; Mézl, Martin (referee) ; Sekora, Jiří (advisor)
Ventricular extrasystoles are pathological changes in the ECG signal. Detection of ventricular extrasystoles on 12leads ECG was created in MATLAB. My work contains two algorithms. The first of these algorithms is based on comparision wides of QRS komplexes. The second algorithm matchs maximum and minimum evaluations of QRS komplexes. We look for agreements beetween these two algorithms and finally if we find these agreenments in seven leads at least we will suppose presence of ventricular extrasystoles.
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|
|
Cluster Analysis
Chrobák, Martin ; Ronzhina, Marina (referee) ; Kozumplík, Jiří (advisor)
This master’s thesis is engaged in usage of cluster analysis for ECG signal to separate normal QRS complexes from abnormal ones. For this, it is used two algorithms created in professional computing interface MATLAB. The outputs from this master’s thesis are dendrograms, which divide QRS complexes into abnormal and normal clusters, and Pearson correlation coefficients.
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