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Classification of ECG signals using Cluster Analysis
 Kremličková, Lenka ; Janoušek, Oto (referee) ; Klimek, Martin (advisor)
This thesis deals with methods of cluster analysis and their applications to short-term recording of the electrocardiogram (ECG). The work describes the physiological properties of the heart and cardiac muscle, as well as its electrical behavior and the formation and ECG. Part of this work is to describe the issue of cluster analysis of biosignals and distribution of clustering methods for hierarchical and non-hierarchical. Are described in detail agglomerative hierarchical method, which is outlined the procedure for the solution. Further described is the use of cluster analysis for classification of ECG and its application to the signals from the CSE. This work assesses which of clustering methods is applied to ECG signals appropriate.
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