Design of Classifier for Electrocardiography Classification

In recent years, dead people due to heart disease have fast increased. Early diagnosis of arrhythmia is very necessary for doctors. Electrocardiography (ECG) shows the electrical activity of heart changes over time through displaying on a screen or paper pages for presenting ECG data. Therefore, doctor can show clinical diagnosis of heart disease based on the ECG graphical presentation with waveform characteristics P, QR-S,
T [1].
In this waveform, some of the characteristics such as PR interval, PR segment, QRS complex interval, ST segment, ST interval, QT interval, and RR interval contains features of ECG data that doctor can use for diagnosis.
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