1. bookVolume 11 (2011): Issue 6 (December 2011)
Journal Details
License
Format
Journal
eISSN
1335-8871
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English
access type Open Access

Application of Wavelet Based Denoising for T-Wave Alternans Analysis in High Resolution ECG Maps

Published Online: 21 Dec 2011
Volume & Issue: Volume 11 (2011) - Issue 6 (December 2011)
Page range: 181 - 184
Journal Details
License
Format
Journal
eISSN
1335-8871
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English
Application of Wavelet Based Denoising for T-Wave Alternans Analysis in High Resolution ECG Maps

T-wave alternans (TWA) allows for identification of patients at an increased risk of ventricular arrhythmia. Stress test, which increases heart rate in controlled manner, is used for TWA measurement. However, the TWA detection and analysis are often disturbed by muscular interference. The evaluation of wavelet based denoising methods was performed to find optimal algorithm for TWA analysis. ECG signals recorded in twelve patients with cardiac disease were analyzed. In seven of them significant T-wave alternans magnitude was detected. The application of wavelet based denoising method in the pre-processing stage increases the T-wave alternans magnitude as well as the number of BSPM signals where TWA was detected.

Keywords

Chugh, S. S., Jui, J., Gunson, K. et al. (2004). Current burden of sudden cardiac death: Multiple source surveillance versus retrospective death certificate-based review in a large U. S. community. Journal of the American College Cardiology, 44 (6), 1268-75.10.1016/j.jacc.2004.06.02915364331Search in Google Scholar

Huikuri, H. V., Castellanos, A., Myerburg, R. J. (2001). Sudden death due to cardiac arrhythmias. New England Journal of Medicine, 345 (20), 1473-82.10.1056/NEJMra00065011794197Search in Google Scholar

Myerburg, R. J., Kessler, K. M., Castellanos, A. (1992). Sudden cardiac death. Structure, function, and time-dependence of risk. Circulation, 85 (1 Suppl), I2-10.Search in Google Scholar

Zheng, Z. J., Croft, J. B., Giles, W. H., Mensah, G. A. (2001). Sudden cardiac death in the United States, 1989 to 1998. Circulation, 104 (18), 2158-63.10.1161/hc4301.09825411684624Search in Google Scholar

Zipes, D. P., Wellens, H. J. (1998). Sudden cardiac death. Circulation, 98 (21), 2334-51.10.1161/01.CIR.98.21.23349826323Search in Google Scholar

Buxton, A. E. (2009). Risk stratification for sudden death in patients with coronary artery disease. Heart Rhythm, 6 (6), 836-47.10.1016/j.hrthm.2009.02.01619467514Search in Google Scholar

Fereniec, M., Stix, G., Kania, M., Mroczka, T., Janusek, D., Maniewski, R. (2011). Risk assessment of ventricular arrhythmia using new parameters based on high resolution body surface potential mapping. Medical Science Monitor, 17 (3), MT26-MT33.10.12659/MSM.881436352472521358612Search in Google Scholar

Karas, S., Nagyova, E., Rosik, V., Tysler, M. (2009). Measuring module for high-resolution multichannel electrocardiograph. In Trends in Biomedical Engineering: Proceedings of the 8th Czech-Slovak Conference. Bratislava: Slovak University of Technology, STU Publishing House, 31-36.Search in Google Scholar

Khaddoumi, B., Rix, H., Meste, O., Fereniec, M., Maniewski, R. (2006). Body surface ECG signal shape dispersion. IEEE Transactions on Biomedical Engineering, 53 (12 Part1), 2491-2500.10.1109/TBME.2006.88178517153206Search in Google Scholar

Robinson, M. R., Curzen, N. (2009). Electrocardiographic body surface mapping: Potential tool for the detection of transient myocardial ischemia in the 21st century? Annals of Noninvasive Electrocardiology, 14 (2), 201-10.10.1111/j.1542-474X.2009.00284.x693239719419406Search in Google Scholar

Kania, M., Fereniec, M., Janusek, D. et al. (2009). Optimal ECG lead system for arrhythmia assessment with use of TCRT parameter. Biocybernetics and Biomedical Engineering, 29 (2), 75-82.Search in Google Scholar

Janusek, D., Fereniec, M., Kania, M., Kępski, R., Maniewski, R. (2010). Spatial distribution of T-wave alternans. Computers in Cardiology, 34, 721-23.Search in Google Scholar

Rosenbaum, D., Jackson, L., Smith, J. et al. (1994). Electrical alternans and vulnerability to ventricular arrhythmias. The New England Journal of Medicine, 330, 235-41.10.1056/NEJM1994012733004028272084Search in Google Scholar

Janusek, D., Pawlowski, Z., Maniewski, R. (2007). Evaluation of the T-wave alternans detection methods: A simulation study. The Anatolina Journal of Cardiology, 7, 116-9.10.1016/j.jelectrocard.2007.03.427Search in Google Scholar

Zheng, D. C., Stevens, S., Langley, P., Wang, K., Haigh, A. (2008). T-wave alternans: A comparison of different measurement techniques. Computers in Cardiology, 35, 597-60.10.1109/CIC.2008.4749112Search in Google Scholar

Blanco-Velasco, M., Weng, B., Barner, K. E. (2008). ECG signal denoising and baseline wander correction based on the empirical mode decomposition. Computers in Biology and Medicine, 38 (1), 1-13.10.1016/j.compbiomed.2007.06.00317669389Search in Google Scholar

Clifford, G. D., Azuaje, F., McSharry, P. (2006). Advanced Methods and Tools for ECG Data Analysis. Norwood, MA, USA: Artech House Inc.Search in Google Scholar

Addison, P. S. (2005). Wavelet transforms and the ECG: A review. Physiological Measurement, 26, R155.10.1088/0967-3334/26/5/R0116088052Search in Google Scholar

Sánchez, C., Rieta, J., Vayá, C., Perez, D., Zangróniz, R., Millet, J. (2006). Wavelet denoising as preprocessing stage to improve ICA performance in atrial fibrillation analysis. In Independent Component Analysis and Blind Signal Separation, LNCS, Vol. 3889. Springer, 486-94.10.1007/11679363_61Search in Google Scholar

Kania, M., Fereniec, M., Maniewski, R. (2007). Wavelet denoising for multi-lead high resolution ECG signals. Measurement Science Review, 7 (3), 30-3.Search in Google Scholar

Donoho, D. L. (1995). De-noising by soft-thresholding. IEEE Transactions on Information Theory, 41 (3), 613-27.10.1109/18.382009Search in Google Scholar

Luo, J., Hu, B., Ling, X. T., Liu, R. W. (1999). Principal independent component analysis. IEEE Transactions on Neural Network, 10 (4), 912-7.Search in Google Scholar

Pan, J., Tompkins, W. J. (1985). A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, 32, 158-67.10.1109/TBME.1985.3255323997178Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo