title: A neural network with asymmetric basis functions for feature extraction of ECG P waves.
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.
authors.forename: E
authors.initials: E
authors.lastname: de Azevedo Botter
authors.forename: C R
authors.initials: CR
authors.lastname: Nascimento
authors.forename: T
authors.initials: T
authors.lastname: Yoneyama