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 use...
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| Main Authors: | , , |
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| Format: | Book |
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Elsevier,
2021-01-01T00:00:00Z.
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| Summary: | 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. |
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| Item Description: | 0213-9111 10.1016/j.gaceta.2021.10.052 |