Detection ischemic episodes from electrocardiogram signal using wavelet transform

Mohammad Karimi Moridani, Majid Pouladian

Biomedical Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran.

DOI: 10.4236/jbise.2009.24037                

Abstract

In this paper, we propose an algorithm for de-tection of myocardial ischemic episodes from electrocardiogram (ECG) signal using the wavelet transform technique. The algorithm was tested on data from the European ST-T change database. Results show that this algorithm is effective for distinguishing normal ECGs from ischemic. We developed a method that uses wavelets for extracting ECG patterns that are characteristic for myocardial ischemia.

Keywords

Myocardial Ischemic; Wavelet Transform; ECG

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	N. Sivannarayana, D. C. Reddy, (1999) Biorthogonal wavelet transforms for ECG parameters estimation, 167-174.
[2]	N. Milosavljevic and A. Petrovic, (2006) ST segment change detection by means of wavelets, 137-140.
[3]	P. Ranjith, P. C. Baby, and P. Joseph, (2003) ECG analy-sis using wavelet transform: application to myocardial ischemia detection, 44-47.
[4]	“European ST-T change database,” www. physionet.org.
[5]	N. Magaveras, T. Stamkopoulos, C. Pappas, and M. G. Strintzis, (1998) An adaptive backpropagation neural network for real-time ischemia episodes detection: De-velopment and performance analysis using the European ST-T database, IEEE Trans Biomed Eng, 45, 805-13.
[6]	M. Vetterly and J. Kovacevic, (1995) Wavelet and sub-band coding, First Edition, Upper Saddle River, NJ: Prentice Hall.
[7]	M. R. Raghuveer and S. Bopardikar, (1996) Wavelet transforms: Introduction to theory and applications, Sec-ond Edition, Boston, MA: Addison Wesley.
[8]	(1996) Special issue on wavelets, Proc IEEE, 84(4).
[9]	S. Mallat and S. Zhong, (1992) Characterization of sig-nals from multiscale edges, IEEE Trans PAMI, 14(7).
[10]	C. Li, C. Zheng, and C. Tai, (1995) Detection of ECG characteristic points using wavelet transform, IEEE Trans Biomed Eng, 42(1), 8-21.
[11]	D. P. Golden, R. A. Wolthuis, and G. W. Hoffler, (1973) A spectral analysis of the normal resting electrocardiogram, IEEE Trans Biomed Eng, 20(5), 366-72.
[12]	S. Mallat, (1991) Zero crossing of a wavelet transform, IEEE Trans Inf Theory, 37(4).
[13]	P. F. Cohn, (1993) Silent myocardial ischemia and infarc-tion, 8–18, NewYork: Marcel Dekker, 87-97.
[14]	F. Jager, G. B. Moody, and R. G. Mark, (1998) Detection of transient ST segment episodes during ambulatory ECG monitoring, Comput Biomed Res, 31(5), 305-22.
[15]	J. Garcia, L Sornmo, S. Olmos, P. Laguna, (2000) Auto-matic detection of ST–T complex changes on the ECG using filtered RMS difference series: Application to am-bulatory ischemia monitoring, IEEE Trans Biomed Eng; 47(9), 1195-201.
[16]	F. Jager, G. B. Moody, A. Taddei, R. G. Mark, (1991) Per-formance measures for algorithms to detect transient ischemic ST segment changes. Computers in Cardiology, Los Alamitos, CA: IEEE Computer Society Press, 372-96.