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

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:

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