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Detection of Abnormalities in ECG

  • Branko Babusiak
  • Michal Gala
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7339)

Abstract

The neural networks have many applications in technical fields. They have been applied successfully to speech recognition, image analysis and adaptive control, in order to construct software agents or autonomous robots. The electrocardiography (ECG) signal is periodical and therefore is quite predictable. In this paper we describe use of neural network for ECG signal prediction. Successful prediction of ECG should be used for the detection of abnormalities - artifacts, extrasystoles, apnea, etc. An automatic abnormalities detection system was created for offline and online purposes and functionality of this system is described in this paper.

Keywords

ECG online prediction neural network automatic detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Branko Babusiak
    • 1
  • Michal Gala
    • 1
  1. 1.Dept. of Electromagnetic and Biomedical EngineeringUniversity of ZilinaZilinaSlovakia

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