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Cardiac Arrhythmia Diagnosis with an Intelligent Algorithm using Chaos Features of Electrocardiogram Signal and Compound Classifier

E. Zarei; N. Barimani; G. Nazari Golpayegani

Volume 10, Issue 4 , November 2022, , Pages 515-527

https://doi.org/10.22044/jadm.2022.12165.2370

Abstract
  Cardiac Arrhythmias are known as one of the most dangerous cardiac diseases. Applying intelligent algorithms in this area, leads into the reduction of the ECG signal processing time by the physician as well as reducing the probable mistakes caused by fatigue of the specialist. The purpose of this study ...  Read More