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Detection of Abnormalities in ECG

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Information Technologies in Biomedicine

Part of the book series: Lecture Notes in Computer Science ((LNBI,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.

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Author information

Authors and Affiliations

  1. Dept. of Electromagnetic and Biomedical Engineering, University of Zilina, Univerzitná 1, 01026, Zilina, Slovakia

    Branko Babusiak & Michal Gala

Authors
  1. Branko Babusiak
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  2. Michal Gala
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Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka  & Jacek Kawa  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Babusiak, B., Gala, M. (2012). Detection of Abnormalities in ECG. In: Piętka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Lecture Notes in Computer Science(), vol 7339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31196-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-31196-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31195-6

  • Online ISBN: 978-3-642-31196-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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