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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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Recognition of Objects in Pictures
Nedoma, David ; Samek, Jan (referee) ; Zbořil, František (advisor)
This thesis is about solving a problem of recognition of objects in pictures. The aim was to create a program that will be able to recognize objects in an image. Describes progressively step by step processing of image data. Shortly describes preprocessing of image, after that describes in detail segmentation, description of segmented data and classification of objects. Describes algorithms and methods that are applicable for each step.
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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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Recognition of Objects in Pictures
Nedoma, David ; Samek, Jan (referee) ; Zbořil, František (advisor)
This thesis is about solving a problem of recognition of objects in pictures. The aim was to create a program that will be able to recognize objects in an image. Describes progressively step by step processing of image data. Shortly describes preprocessing of image, after that describes in detail segmentation, description of segmented data and classification of objects. Describes algorithms and methods that are applicable for each step.
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