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

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Author

Summary, in English

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

Publishing year

2002

Language

English

Pages

2041-2045

Publication/Series

ICONIP '02. Proceedings of the 9th International Conference on Neural Information Processing. Computational Intelligence for the E-Age (IEEE Cat. No.02EX575)

Document type

Conference paper

Publisher

Nanyang Technological University

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • electrogram
  • pacemakers
  • time lagged feedforward artificial neural network
  • matched filter
  • artificial neural network

Conference name

9th International Conference on Neural Information Processing

Conference date

2002-11-18 - 2002-11-22

Conference place

Singapore

Status

Published

ISBN/ISSN/Other

  • ISBN: 981-04-7524-1