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

Författare

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

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

Ämne

  • Electrical Engineering, Electronic Engineering, Information Engineering

Nyckelord

  • 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/Övrigt

  • ISBN: 981-04-7524-1