DocumentCode
1528816
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
Volume
12
Issue
5
fYear
2001
fDate
9/1/2001 12:00:00 AM
Firstpage
1252
Lastpage
1255
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;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.950154
Filename
950154
Link To Document