PQRST wave detection on ECG signals

Putri Madona; Rahmat Ilias Basti; Muhammad Mahrus Zain

doi:10.1016/j.gaceta.2021.10.052

PQRST wave detection on ECG signals

Gac Sanit. 2021:35 Suppl 2:S364-S369. doi: 10.1016/j.gaceta.2021.10.052.

Authors

Putri Madona¹, Rahmat Ilias Basti², Muhammad Mahrus Zain³

Affiliations

¹ Department of Electronics Engineering, Politeknik Caltex Riau, Riau 28261, Indonesia. Electronic address: dhona@pcr.ac.id.
² Department of Electronics Engineering, Politeknik Caltex Riau, Riau 28261, Indonesia.
³ Department of Information System Engineering, Politeknik Caltex Riau, Riau 28261, Indonesia.

PMID: 34929852
DOI: 10.1016/j.gaceta.2021.10.052

Abstract

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 2min 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.

Keywords: BPM; ECG; PQRST.

MeSH terms

Algorithms
Arrhythmias, Cardiac
Electrocardiography*
Humans
Signal Processing, Computer-Assisted*