An efficient and automatic ECG arrhythmia diagnosis system using DWT and HOS features and entropy- based feature selection procedure

An efficient and automatic ECG arrhythmia diagnosis system using DWT and HOS features and entropy- based feature selection procedure

Primary recognition of heart diseases by exploiting computer aided diagnosis (CAD) machines, decreases the vast rate of fatality among cardiac patients. Recognition of heart abnormalities is a staggering task because the low changes in ECG signals may not be exactly specified with eyesight. In this...

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Bibliographic Details
Main Authors: Chashmi Abdullah Jafari, Amirani Mehdi Chehel
Format: Article
Language:English
Published: Sciendo 2019-08-01
Series:Journal of Electrical Bioimpedance
Subjects:
ecg
classification
feature extraction
feature selection
entropy
Online Access:https://doi.org/10.2478/joeb-2019-0007

Internet

https://doi.org/10.2478/joeb-2019-0007

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