Syntactic recognition of ECG signals by attributed finite automata

  • Authors:
  • Antti Koski;Martti Juhola;Merik Meriste

  • Affiliations:
  • Department of Computer Science and Applied Mathematics, University of Kuopio, Finland;Department of Computer Science and Applied Mathematics, University of Kuopio, Finland;Department of Computer Science, University of Tartu, Estonia

  • Venue:
  • Pattern Recognition
  • Year:
  • 1995

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Abstract

A syntactic pattern recognition method of electrocardiograms (ECG) is described in which attributed automata are used to execute the analysis of ECG signals. An ECG signal is first encoded into a string of primitives and then attributed automata are used to analyse the string. We have found that we can perform fast and reliable analysis of ECG signals by attributed automata.