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

Authors:
E. de Azevedo Botter;C. L. Nascimento, Jr.;T. Yoneyama
Affiliations:
Inst. Dante Pazzanese de Cardiologia, Sao Paulo;-;-
Venue:
IEEE Transactions on Neural Networks
Year:
2001

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Abstract

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