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QRS Detection Algorithm for ECG Analysis  

Hong, Sung Ho (Department of Electronic and Electrical Engineering, Dankook univ.)
Kim, Young Seop (Department of Electronic and Electrical Engineering, Dankook univ.)
Lee, Myeong Seok (Department of Electronic and Electrical Engineering, Dankook univ.)
Noh, Hack Youp (Department of Electronic and Electrical Engineering, Dankook univ.)
Chi, Yong Seok (Department of Electronic and Electrical Engineering, Dankook univ.)
Publication Information
Journal of the Semiconductor & Display Technology / v.11, no.3, 2012 , pp. 57-61 More about this Journal
Abstract
In order to analyze the ECG, it is important to pinpoint the repeat interval of the ECG. In this paper, we present an efficient algorithm for finding the QRS complex on the ECG. We escaped from the conventional methods to go through multiple steps of preprocessing to make ECG easier to find the QRS complex. We selected the candidate peak that has the possibility of the QRS complex in original ECG, and used technique to find the QRS complex among the candidate peak. In this way, we could get similar efficiency to Pan & Tompkins Algorithm that is most representative QRS complex detection algorithm, just used fewer operations than Pan & Tompkins Algorithm.
Keywords
ECG; QRS detection; ECG monitoring system; Signal processing;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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