PQRST wave detection on ECG signals

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. (C) 2021 SESPAS. Published by Elsevier Espana, S.L.U.