Topographic Analysis of Morphologic Features of ECG beats

Kutlu Y., KUNTALP M., GÜRKAN KUNTALP D.

14th National Biomedical Engineering Meeting, İzmir, Turkey, 20 - 22 May 2009, pp.159-162, (Full Text)

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/biyomut.2009.5130289
  • City: İzmir
  • Country: Turkey
  • Page Numbers: pp.159-162
  • Keywords: ECG, Arrhythmia, Morphologic feature, Self Organizing Maps, U-matrix, CLASSIFICATION
  • Dokuz Eylül University Affiliated: Yes

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.