Analyzing and learning ECG waveforms

Gabriella Kókai, Zoltán Alexin, Tibor Gyimóthy

Research output: Conference contribution

1 Citation (Scopus)

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. 4.

Original languageEnglish
Title of host publicationInductive Logic Programming - 6th International Workshop, ILP-1996, Selected Papers
EditorsStephen Muggleton
PublisherSpringer Verlag
Pages127-145
Number of pages19
ISBN (Print)3540634940, 9783540634942
Publication statusPublished - jan. 1 1997
Event6th International Workshop on Inductive Logic Programming, ILP-1996 - Stockholm, Sweden
Duration: aug. 26 1996aug. 28 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1314
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Workshop on Inductive Logic Programming, ILP-1996
CountrySweden
CityStockholm
Period8/26/968/28/96

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kókai, G., Alexin, Z., & Gyimóthy, T. (1997). Analyzing and learning ECG waveforms. In S. Muggleton (Ed.), Inductive Logic Programming - 6th International Workshop, ILP-1996, Selected Papers (pp. 127-145). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1314). Springer Verlag.