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

Rodrigues, Joachim LU ; Öwall, Viktor LU and Sörnmo, Leif LU (2002) 9th International Conference on Neural Information Processing In ICONIP '02. Proceedings of the 9th International Conference on Neural Information Processing. Computational Intelligence for the E-Age (IEEE Cat. No.02EX575) p.2041-2045
Abstract
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
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
electrogram, pacemakers, time lagged feedforward artificial neural network, matched filter, artificial neural network
in
ICONIP '02. Proceedings of the 9th International Conference on Neural Information Processing. Computational Intelligence for the E-Age (IEEE Cat. No.02EX575)
pages
2041 - 2045
publisher
Nanyang Technological University
conference name
9th International Conference on Neural Information Processing
external identifiers
  • WOS:000182832400417
  • Scopus:84966373448
ISBN
981-04-7524-1
DOI
10.1109/ICONIP.2002.1199033
language
English
LU publication?
yes
id
e568fae1-d20a-4297-96d5-2af6fe1fbcce (old id 611702)
date added to LUP
2007-11-28 14:50:50
date last changed
2016-10-13 04:44:19
@misc{e568fae1-d20a-4297-96d5-2af6fe1fbcce,
  abstract     = {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},
  author       = {Rodrigues, Joachim and Öwall, Viktor and Sörnmo, Leif},
  isbn         = {981-04-7524-1},
  keyword      = {electrogram,pacemakers,time lagged feedforward artificial neural network,matched filter,artificial neural network},
  language     = {eng},
  pages        = {2041--2045},
  publisher    = {ARRAY(0x584aa48)},
  series       = {ICONIP '02. Proceedings of the 9th International Conference on Neural Information Processing. Computational Intelligence for the E-Age (IEEE Cat. No.02EX575)},
  title        = {R-wave detection for pacemakers using a matched filter based on an artificial neural network},
  url          = {http://dx.doi.org/10.1109/ICONIP.2002.1199033},
  year         = {2002},
}