Objective: One way of detecting the heart disease is to determine the presence of abnormalities in PQRST
interval on ECG signals. Therefore, it is expected to be used as a preliminary diagnosis of heart health and
to prevent or decrease the mortality rate due to heart attack.
Methods: This paper uses three main processes: data acquisition, signal preprocessing, and feature extraction. The experiment was done to eighteen subjects recorded for 2 min in a relaxed condition to obtain P
wave points, QRS complexes, and T waves.
Result: Based on the data obtained from the 18 subjects, the average accuracy of point P detection is
98.31%, point Q = 98.7%, point R = 99.12%, point S = 86.27%, and point T = 97.99%.
Conclusion: The extraction of used features proved capable of detecting P waves, QRS complexes, T waves,
as well as the amount of heart rate on all subjects.