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Analyzing and learning ECG waveforms

  • Experiments and Applications
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Inductive Logic Programming (ILP 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1314))

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Abstract

In this paper we present a system which integrates an ECG waveform classifier (called PECG) with an interactive learner (called IMPUT. The PECG system is based on an attribute grammar specification of ECGs that has been transformed to Prolog. The IMPUT system combines the interactive debugging technique IDT with the unfolding algorithm introduced in SPECTRE. The main result achieved in the new version of the PECG system is that an ILP method can be used to improve the effectiveness of a real size Prolog application. Applying the IMPUT method, the extended PECG system is able to suggest a correct solution to the user to replace the buggy clause recognized during the debugging process.

now visiting the Chair of Programming Languages, Department of Computer Science, Friedrich-Alexander University of Erlangen-Nürnberg Martenstr. 3. D-91058 Erlangen, Germany e-mail: kokai@informatik.uni-erlangen.de

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Authors and Affiliations

  1. Institute of Informatics, József Attila University, Árpád tér 2, H-6720, Szeged, Hungary

    Gabriella Kókai

  2. Department of Applied Informatics, József Attila University, Árpád tér 2, H-6720, Szeged, Hungary

    Zoltán Alexin

  3. Research Group on Artificial Intelligence, Hungarian Academy of Sciences, Aradi vértanuk tere 1, H-6720, Szeged, Hungary

    Tibor Gyimóthy

Authors
  1. Gabriella Kókai
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  2. Zoltán Alexin
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  3. Tibor Gyimóthy
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Stephen Muggleton

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© 1997 Springer-Verlag Berlin Heidelberg

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Kókai, G., Alexin, Z., Gyimóthy, T. (1997). Analyzing and learning ECG waveforms. In: Muggleton, S. (eds) Inductive Logic Programming. ILP 1996. Lecture Notes in Computer Science, vol 1314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63494-0_52

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  • DOI: https://doi.org/10.1007/3-540-63494-0_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63494-2

  • Online ISBN: 978-3-540-69583-7

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