ECG CLASSIFICATION USING SLANTLET TRANSFORM AND ARTIFICIAL NEURAL NETWORK
Automatic detection and classification of cardiac arrhythmias is important for diagnosis of cardiac abnormality. This paper shows a method to accurately classify ECG arrhythmias through a combination of slantlet transform and artificial neural network (ANN). The ability of the slantlet transform to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad
2010-04-01
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| Series: | Journal of Engineering |
| Online Access: | https://joe.uobaghdad.edu.iq/index.php/main/article/view/2515 |