A neural network with asymmetric basis functions for feature extraction of ECG P waves.
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.
de Azevedo Botter
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Nascimento
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Yoneyama
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