Stepwise Detection of the QRS Complex in the ECG Signal 


Vol. 41,  No. 2, pp. 244-253, Feb.  2016


PDF
  Abstract

The QRS complex of ECG signal represents the depolarization and repolarization activities in the cells of ventricle. Accurate informations of QRSonset and QRSoffset 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 Rpeak, 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 QRSonset and QRSoffset. 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.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

J. Kim, S. Lee, K. Park, "Stepwise Detection of the QRS Complex in the ECG Signal," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 2, pp. 244-253, 2016. DOI: .

[ACM Style]

Jeong-Hong Kim, SeungMin Lee, and Kil-Houm Park. 2016. Stepwise Detection of the QRS Complex in the ECG Signal. The Journal of Korean Institute of Communications and Information Sciences, 41, 2, (2016), 244-253. DOI: .

[KICS Style]

Jeong-Hong Kim, SeungMin Lee, Kil-Houm Park, "Stepwise Detection of the QRS Complex in the ECG Signal," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 2, pp. 244-253, 2. 2016.