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R-wave detection for pacemakers using a matched filter based on an artificial neural network

Publiceringsår: 2002
Språk: Engelska
Sidor: 2041-2045
Publikation/Tidskrift/Serie: ICONIP '02. Proceedings of the 9th International Conference on Neural Information Processing. Computational Intelligence for the E-Age (IEEE Cat. No.02EX575)
Dokumenttyp: Konferensbidrag
Förlag: Nanyang Technological University


A matched filter composed of a time lagged feedforward artificial neural Network (TLFN) and a pulse-shaping filter is used in a noisy environment to detect R-waves for pacemakers. The TLFN reduces the influence of lower frequencies in the invasive electrogram (EGM) signals, e.g. P and T waves, and conditions the EGM to optimize the performance of the dynamically updated matched filter. Detector performance is studied by means of databases containing electrograms as well as different types of noise and interferences, which are added to the signals. The results show that reliable detection can be obtained for relatively high noise levels


  • Electrical Engineering, Electronic Engineering, Information Engineering
  • electrogram
  • pacemakers
  • time lagged feedforward artificial neural network
  • matched filter
  • artificial neural network


9th International Conference on Neural Information Processing
  • ISBN: 981-04-7524-1

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