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http://dx.doi.org/10.6109/jkiice.2017.21.2.450

T Wave Detection Algorithm based on Target Area Extraction through QRS Cancellation and Moving Average  

Cho, Ik-sung (Department of Information and Communication Engineering, Kyungwoon University)
Kwon, Hyeog-soong (Department of IT Engineering, Pusan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.2, 2017 , pp. 450-460 More about this Journal
Abstract
T wave is cardiac parameters that represent ventricular repolarization, it is very important to diagnose arrhythmia. Several methods for detecting T wave have been proposed, such as frequency analysis and non-linear approach. However, detection accuracy is at the lower level. This is because of the overlap of the P wave and T wave depending on the heart condition. We propose T wave detection algorithm based on target area extraction through QRS cancellation and moving average. For this purpose, we detected Q, R, S wave from noise-free ECG(electrocardiogram) signal through the preprocessing method. And then we extracted P, T target area by applying decision rule for four PAC(premature atrial contraction) pattern another arrhythmia through moving average and detected T wave using RT interval and threshold of RR interval. The performance of T wave detection is evaluated by using 48 record of MIT-BIH arrhythmia database. The achieved scores indicate the average detection rate of 95.32%.
Keywords
T wave; Myocardial disease; ST segment; PAC pattern; QRS cancellation; Moving Average;
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Times Cited By KSCI : 1  (Citation Analysis)
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