Study for Detection Algorithm of QRS Complex in ECG Signal

Abstract:

In ECG signals accurate detection to the position of QRS complex is a key to automatic analysis and diagnosis system. And its premise is that effectively remove all kinds of noise interference in ECG signal. Here, a method of detecting QRS based on EMD and wavelet transform was presented which is aim to improve the anti-noise performance of the detection algorithm. It is combined EMD with the theory of singularity detecting based on wavelet transform modulus maxima method. It has the high detection accuracy and good precision that can give an effective way to the automatic analysis for ECG signal.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 2105-2108
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.2105
• Online since: September 2013
• Authors: Xu Wen Li, Bi Wei Zhang, Qiang Wu
• Keywords: Empirical Mode Decomposition (EMD), Modulus Maxima, QRS, Wavelet Transform (WT)

References

[1] Huang et al., The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. R. Soc. Lond. A 454 (1998) 903-995.

DOI: 10.1098/rspa.1998.0193

[2] Taddei A, Constantino G. A system for the detection of ischemic episodes in amulatory ECG. Computers in Cardiology. Los Alamitos, CA: IEEE Computer Society Press, 1995. pp.705-8.

[3] Li C, Zheng C, Tai C. Detection of ECG characteristic points using wavelet transform. IEEE Trans Biomed Eng, 1995. 42(1): 21-8.

DOI: 10.1109/10.362922

[4] N.E. Huang, Z. Shen. The empirical mode decomposition and the Hilbert spectrum for non-linear and non-stationary time series analysis. Proc. R. Soc. London A. vol. 454, 1998: 903-995.

DOI: 10.1098/rspa.1998.0193

[5] N. E. Huang, M. -L. C. Wu, A confidence limit for the empirical mode decomposition and hilbert spectral analysis, Mathematical, Physical and Engineering Sciences. vol. 459, 2003: 2317-2345.