R-Peaks Detection Method for Classifying Arrhythmia Disorder
ABSTRACT: Electrocardiography
(ECG) is a non-invasive technique that is used to diagnose heart abnormalities.
ECG records all heart activities and represent them using bio electric signals.
Arrhythmia is one of the cardiac disorder that can be detected using ECG.
Arrhythmia need to be detected early because of an early symptom of heart
disease as deadly as coronary heart disease and heart failure. Arrhythmia
described using the difference between the R-Peaks based on QRS complex.
Therefore, R-Peaks detection will be an important factor that can be used to
classify arrhythmia disease. One of the widely used methods to detect R-Peaks
is Pan-Tompkins Method. Pan-Tompkins method used a threshold value approach to
get all location of R-Peaks point from the ECG signals. This study proposed a
development based on Pan-Tompkins method by change the threshold value using
normalize technique and moving windows approach to get all location of R-Peaks
point from the ECG signals. This study uses MIT-BIH arrhythmia dataset. This
method can show the R-peaks detection with 99.83% sensitivity and 0.40% total
error rate detection. Hence, this method has potential to be used for
classifying arrhythmia disorder based on the R-Peaks point.
Keywords: Electrocardiography,
R-Peaks Detection, QRS Complex, Arrhythmia Disorder, Pan-Tompkins Method
Author: Anggit Ferdita Nugraha
Journal Code: jpkedokterangg170296
