Features Optimization for ECG Signals Classification
نویسندگان
چکیده
منابع مشابه
Genetic algorithm for the optimization of features and neural networks in ECG signals classification
Feature extraction and classification of electrocardiogram (ECG) signals are necessary for the automatic diagnosis of cardiac diseases. In this study, a novel method based on genetic algorithm-back propagation neural network (GA-BPNN) for classifying ECG signals with feature extraction using wavelet packet decomposition (WPD) is proposed. WPD combined with the statistical method is utilized to ...
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Article history: Received 20 January 2015 Accepted 02 April 2015 Published 20 May 2015
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2018
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2018.091154