Title :
A neural network with asymmetric basis functions for feature extraction of ECG P waves
Author :
de Azevedo Botter, E. ; Nascimento, Cairo L., Jr. ; Yoneyama, Takashi
Author_Institution :
Inst. Dante Pazzanese de Cardiologia, Sao Paulo, Brazil
fDate :
9/1/2001 12:00:00 AM
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
Keywords :
backpropagation; electrocardiography; feature extraction; feedforward neural nets; medical signal processing; pattern classification; ECG P waves; ECG signals; asymmetric basis functions; error-backpropagation; feature extraction; feedforward neural network; medical signal processing; pattern classification; Brazil Council; Clustering algorithms; Data mining; Electrocardiography; Environmental economics; Feature extraction; Morphology; Neural networks; Pattern clustering; Testing;
Journal_Title :
Neural Networks, IEEE Transactions on
