Key result
Feature extraction of ECG signals achieved average detection accuracies of 98.31% for P waves, 98.7% for Q, 99.12% for R, 86.27% for S, and 97.99% for T waves across 18 subjects.
Why the study?
Detecting abnormalities in the PQRST interval on ECG signals is expected to aid in preliminary diagnosis of heart health and help prevent or decrease mortality due to heart attack.
Can a feature extraction algorithm accurately detect PQRST waves on ECG signals in relaxed subjects?
Can a feature extraction algorithm accurately detect PQRST waves on ECG signals in relaxed subjects?
Answers are grounded in this paper and cite their sources.
The proposed feature extraction method demonstrates high accuracy in detecting PQRST waves on ECG signals, which may aid in preliminary diagnosis of heart disease.
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.
No takes yet. Share an insight, caveat, or question.
Madona et al. (2021) studied this question. Feature extraction for PQRST wave detection was evaluated on Accuracy of P, Q, R, S, and T point detection. Feature extraction of ECG signals achieved average detection accuracies of 98.31% for P waves, 98.7% for Q, 99.12% for R, 86.27% for S, and 97.99% for T waves across 18 subjects.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: