Automatic Heart Disease Detection by Classification of Ventricular Arrhythmias on ECG Using Machine Learning
Abstract
This paper focuses on detecting diseased signals and arrhythmias classification into two classes: ventricular tachycardia and premature ventricular contraction. The sole purpose of the signal detection is used to determine if a signal has been collected from a healthy or sick person. The proposed research approach presents a mathematical model for the signal detector based on calculating the instantaneous frequency (IF). Once a signal taken from...
Paper Details
Title
Automatic Heart Disease Detection by Classification of Ventricular Arrhythmias on ECG Using Machine Learning
Published Date
Jan 1, 2022
Volume
71
Issue
1
Pages
17 - 33
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