Recognition of various events from 3-D heart model

S. M. Szilágyi, Z. Benyó, L. Szilágyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


This paper presents a new way to solve the inverse problem of electrocardiography in terms of heart model parameters. The developed event estimation and recognition method is based on an optimization system of heart model parameters. An ANN-based preliminary ECG analyser system has been created to reduce the searching space of the optimization algorithm. The optimal model parameters were determined by minimizing the objective functions, as relations of the observed and model-generated body surface ECGs. The final evaluation results, validated by physicians were about 86% correct. Starting from the fact that input ECGs contained various malfunction cases, such as Wolff-Parkinson-White (WPW) syndrome, atrial and ventricular fibrillation, these results suggest that this approach provides a robust inverse solution, circumventing most of the difficulties of the ECG inverse problem.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Number of pages6
ISBN (Print)008045108X, 9780080451084
Publication statusPublished - 2005

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
ISSN (Print)1474-6670


  • Heart wall motions
  • Medical applications
  • Models
  • Neural network
  • Real-time systems
  • Signal processing

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Szilágyi, S. M., Benyó, Z., & Szilágyi, L. (2005). Recognition of various events from 3-D heart model. In Proceedings of the 16th IFAC World Congress, IFAC 2005 (1 ed., pp. 107-112). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 38, No. 1). IFAC Secretariat.