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- W2162667711 abstract "In this work, the arrhythmias in the electrocardiograph (ECG) signals are analyzed by using Self Organizing Maps (SOM). Morphologic features obtained from consecutive sample values of each R peak are used for training the SOM networks. The maps are examined using U-matrix representation method. Consequently, the high dimensional data are examined in two dimensions. When the shapes of the distributions obtained by U-matrix representation are considered, it is realized that a simple linear classifier is not able to classify these patterns correctly." @default.
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- W2162667711 date "2009-01-01" @default.
- W2162667711 modified "2023-09-26" @default.
- W2162667711 title "EKG Vurularinin Morfolojik Özniteliklerin Topografik Analizi Topographic Analysis of Morphologic Features of ECG beats" @default.
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