R-wave detection for pacemakers using a matched filter based on an artificial neural network
(2002) 9th International Conference on Neural Information Processing 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:
https://lup.lub.lu.se/record/611702
- author
- Rodrigues, Joachim LU ; Öwall, Viktor LU and Sörnmo, Leif LU
- organization
- publishing date
- 2002
- 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
- host publication
- 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
- conference location
- Singapore
- conference dates
- 2002-11-18 - 2002-11-22
- 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
- 2016-04-04 11:10:32
- date last changed
- 2022-01-29 21:25:41
@inproceedings{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}}, booktitle = {{ICONIP '02. Proceedings of the 9th International Conference on Neural Information Processing. Computational Intelligence for the E-Age (IEEE Cat. No.02EX575)}}, isbn = {{981-04-7524-1}}, keywords = {{electrogram; pacemakers; time lagged feedforward artificial neural network; matched filter; artificial neural network}}, language = {{eng}}, pages = {{2041--2045}}, publisher = {{Nanyang Technological University}}, 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}}, doi = {{10.1109/ICONIP.2002.1199033}}, year = {{2002}}, }