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A neural network with asymmetric basis functions for feature extraction of ECG P waves

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3 Author(s)
de Azevedo Botter, E. ; Inst. Dante Pazzanese de Cardiologia, Sao Paulo, Brazil ; Nascimento, C.L., Jr. ; Yoneyama, T.

In this work a simple neural network with asymmetric basis functions is proposed as a feature extractor for P waves in electrocardiographic signals (ECG). The neural network is trained using the classical backward-error-propagation algorithm. The performance of the proposed network was tested using actual ECG signals and compared with other types of neural feature extractors

Published in:

Neural Networks, IEEE Transactions on  (Volume:12 ,  Issue: 5 )

Date of Publication:

Sep 2001

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