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Detection of poorly differentiated cardiac arrhythmias
Kantor, Marek ; Ronzhina, Marina (referee) ; Novotná, Petra (advisor)
This thesis focusses on the detection methods of atrial fibrilation, atrial flutter and sinus rhythm from ECG. Thesis also concentrate on the description of this arrhythmias and the learning algorithms used. In this thesis are implemented several classification approaches. For extraction of features is used convolution neural network and classification artifitial neural network. Selected 1D CNN method achived classification accuracy global F1 - score is 91 %. Moreover, the proposed CNN optimized with GA appears to be fast shallow network with better accuracy than the deep network. Created model are used for classification other type of arrhythmias too.
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Analysis of arrhythmias in experimental ECG recordings
Olšanská, Eva ; Janoušek, Oto (referee) ; Ronzhina, Marina (advisor)
This diploma thesis deals with analysis of electrograms recorded from isolated rat hearts. In theoretical part, basic principles of electrocardiography and differences between rat and human EG records are described. Types of arrhythmias and methods for classification and quantification of arrhythmias are also described. Examples of pathologies found during the manual classification and results of the analysis of the QTc interval duration are presented. An occurrence of premature beats is then compared between experimental groups. Finally, the method used for the automatic analysis of electrograms including the graphical user interface is described and the results of its evaluation using real data are presented
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Automatic -wave detection in 12-lead ECG
Khunová, Martina ; Filipenská, Marina (referee) ; Ředina, Richard (advisor)
This bachelor thesis deals with the automatic detection of delta waves from the 12-lead ECG in Matlab. In the theoretical part, the anatomy and physiology of the heart is briefly described, the reader gets familiar with Wolff-Parkinson-White syndrome, and through the manifestations of delta waves on the electrocardiogram we come to the description of linear filters and detection of the QRS complex based on the envelope. In the first part of practical part, a QRS complex detector is constructed, which is followed by a delta wave detector. The detection of the delta wave is based on the measurement of the duration of the peak and its derivation. The detector was tested on a database which data comes from pediatric patients.
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Detection of poorly differentiated cardiac arrhythmias
Kantor, Marek ; Ronzhina, Marina (referee) ; Novotná, Petra (advisor)
This thesis focusses on the detection methods of atrial fibrilation, atrial flutter and sinus rhythm from ECG. Thesis also concentrate on the description of this arrhythmias and the learning algorithms used. In this thesis are implemented several classification approaches. For extraction of features is used convolution neural network and classification artifitial neural network. Selected 1D CNN method achived classification accuracy global F1 - score is 91 %. Moreover, the proposed CNN optimized with GA appears to be fast shallow network with better accuracy than the deep network. Created model are used for classification other type of arrhythmias too.
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Analysis of arrhythmias in experimental ECG recordings
Olšanská, Eva ; Janoušek, Oto (referee) ; Ronzhina, Marina (advisor)
This diploma thesis deals with analysis of electrograms recorded from isolated rat hearts. In theoretical part, basic principles of electrocardiography and differences between rat and human EG records are described. Types of arrhythmias and methods for classification and quantification of arrhythmias are also described. Examples of pathologies found during the manual classification and results of the analysis of the QTc interval duration are presented. An occurrence of premature beats is then compared between experimental groups. Finally, the method used for the automatic analysis of electrograms including the graphical user interface is described and the results of its evaluation using real data are presented
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