Authors
Abdullah Jafari Chashmi
Faculty of Electrical and Computer Engineering, Urmia University, Urmia, Iran
Mehdi Chehel Amirani
Faculty of Electrical and Computer Engineering, Urmia University, Urmia, Iran
An efficient and automatic ECG arrhythmia diagnosis system using DWT and HOS features and entropy- based feature selection procedure
DOI: https://doi.org/10.2478/joeb-2019-0007 | Journal eISSN: 1891-5469
Language: English
Page range: 47 - 54
Submitted on: Feb 19, 2019
Published on: Aug 20, 2019
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2019 Abdullah Jafari Chashmi, Mehdi Chehel Amirani, published by University of Oslo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.