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http://dx.doi.org/10.7840/kics.2016.41.2.244

Stepwise Detection of the QRS Complex in the ECG Signal  

Kim, Jeong-Hong (Kyungpook National University. School of Computer Science and Engineering)
Lee, SeungMin (Kyungpook National University Graduate School of Electronics Engineering)
Park, Kil-Houm (Kyungpook National University Graduate School of Electronics Engineering)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.41, no.2, 2016 , pp. 244-253 More about this Journal
Abstract
The QRS complex of ECG signal represents the depolarization and repolarization activities in the cells of ventricle. Accurate informations of $QRS_{onset}$ and $QRS_{offset}$ are needed for automatic analysis of ECG waves. In this study, using the amount of change in the QRS complex voltage values and the distance from the $R_{peak}$, we determined the junction point from Q-wave to R-wave and the junction point from R-wave to S-wave. In the next step, using the integral calculation based on the connection point, we detected $QRS_{onset}$ and $QRS_{offset}$. We use the PhysioNet QT database to evaluate the performances of the algorithm, and calculate the mean and standard deviation of the differences between onsets or offsets manually marked by cardiologists and those detected by the proposed algorithm. The experiment results show that standard deviations are under the tolerances accepted by expert physicians, and outperform the results obtained by the other algorithms.
Keywords
ECG; QRS Complex; QRS Detection; QT Database;
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Times Cited By KSCI : 4  (Citation Analysis)
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