Referenced Items are not available for this document.
Presents a new approach to the P wave classification problem which is based upon the application of a new recently developed and widely described tool such as the wavelet neural network. The novel idea of classification is based on the creation of our own non-standard wavelet exactly as a P wave morphology template and then calculation of the wavelet transform as a first layer of a classical multi-layer perceptron. This first layer works as a feature selector and extractor.
Published in:
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
(Volume:2
)
Date of Conference: 2001
- Page(s):
- 1758 - 1760 vol.2
- ISSN :
- 1094-687X
- Print ISBN:
- 0-7803-7211-5
- INSPEC Accession Number:
- 7461990
- Digital Object Identifier :
- 10.1109/IEMBS.2001.1020559
- Product Type:
- Conference Publications
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