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QRS complex duration enhancement as ventricular late potential indicator by signal-averaged ECG using time-amplitude alignments

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Published/Copyright: March 1, 2013

Abstract

Ventricular late potentials (VLPs) are small-amplitude waves with a short duration that appear at the end part of the QRS complex, making a QRS complex duration larger. The signal-averaged electrocardiography (ECG) technique enhances VLPs and beats, assuming noise as the only random variable. However, ECG signals are not completely stationary and different elongations appear in both time and amplitude in each beat. This research proposes to use piecewise linear approximation to segment each beat and performs the alignment of the beats using the technique known as derivative dynamic time-warping to have beats better aligned and consequently enhance the presence of VLPs. We recorded high-resolution ECGs (HRECGs) from 50 subjects in supine position with no heart-stroke antecedents. VLPs were created synthetically and added to the HRECGs. Two cases were evaluated: (i) duration of the QRS complexes with VLPs without beats alignment, and (ii) duration of QRS complexes with VLPs using beats alignment in time and amplitude. Considering QRS duration as an indicative of VLP presence, results show that when using beats alignment in time and amplitude it is possible to reach a sensitivity of 0.96 and a specificity of 0.52, as opposed to 0.72 and 0.40, respectively, when using only averaging without beats alignment in time and amplitude.


Corresponding author: Roberto L. Avitia, Full Professor and Member of the Bioengineering and Environmental Health Research Group, University Autonomous of Baja California, Benito Juarez Blvd. s/n. Mexicali B.C., 21280 Mexico, Phone: +52-6865664270

We would like to acknowledge the sponsorship granted by the Fifteenth Internal Call for Research Projects for New Researchers 105/6/N/41/15-1908 from the Autonomous University of Baja California.

Conflict of interest statement:

The authors declare that they have no conflict of interests.

References

[1] Avitia RL, Reyna MA, Bravo ME. Alternativa para Simular Potenciales Tardios Ventriculares en Señales ECG de Alta Resolución, ANDESCON 2008, Memoria Anual IEEE Sección Perú 2008.Search in Google Scholar

[2] Bragge T, Tarvainen MP, Karjalainen PA. High-resolution QRS detection algorithm for sparsely sampled ECG recordings. Kuopio: University of Kuopio Department Physics Report Series 2004.10.1088/0967-3334/26/5/013Search in Google Scholar PubMed

[3] Breithard G, Cain ME, El-Sherif N, et al. Standards for analysis of ventricular late potentials using high resolution or signal-averaged electrocardiography. Eur Heart J 1991; 12: 473–480.10.1093/oxfordjournals.eurheartj.a059926Search in Google Scholar PubMed

[4] Breithard G, Wichter T, Fetsch T, et al. The signal-averaged ECG: time-domain analysis. Eur Heart J 1993; 14: 27–32.10.1093/eurheartj/14.suppl_E.27Search in Google Scholar

[5] Clifford GD. Advanced methods and tools for ECG data analysis. In: Clifford GD, Azuaje F, McSharry PE, editors ECG statistics, noise, artifacts and missing data 2006: 62–63.Search in Google Scholar

[6] Hadj Slimane ZE, Bereksi Reguig F. Detection of the QRS complex by linear prediction. J Med Eng Technol 2006; 30: 134–138.10.1080/03091900500286468Search in Google Scholar PubMed

[7] Illanes-Manriquez A, Zhang Q. An algorithm for robust detection of QRS onset and offset in ECG signals. Comput Cardiol 2008; 35: 857–860.10.1109/CIC.2008.4749177Search in Google Scholar

[8] Koski A, Yuhola M. Segmentation of digital signals based on estimated compression ratio. IEEE Trans Biomed Eng 1996; 43: 928–938.10.1109/10.532127Search in Google Scholar PubMed

[9] Narayanaswamy S. High resolution electrocardiography, technical series. Indian Pac Electrophysiol J 2002; 1: 50–56.Search in Google Scholar

[10] Pan J, Tompkins WJ. A real time QRS detection algorithm. IEEE Trans Biomed Eng 1985; 32: 230–255.10.1109/TBME.1985.325532Search in Google Scholar PubMed

[11] Sovari AA, Kocheril AG, Baas AS, et al. Sudden cardiac death, medscape: drugs, diseases and procedures. Medscape 2011; 1: 10 (emedicene.medscape.com/article/151907-overview#showall).Search in Google Scholar

[12] Tagluk ME, English MJ. Time-frequency analysis of model-based ventricular late potentials. In: Proceedings of the 2nd International Conference, May 20–22, 1998. Istanbul Biomedical Engineering Days IEEE 1998: 134–136.Search in Google Scholar

[13] Vullings HJLM, Verhaegen MHG, Verbruggen HB. Automated ECGs segmentation with dynamic time warping, advances in intelligent. In: Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Oct 29, 1998–Nov 01, 1998. Hong Kong 1998; 20: 163–166.Search in Google Scholar

[14] Yeh YC, Wang WJ. QRS complexes detection for ECG signal: the difference operation method. Comput Methods Progr Biomed 2008; 91: 245–254.10.1016/j.cmpb.2008.04.006Search in Google Scholar PubMed

[15] Zifan A, Saberi S, Hassan M, Towhidkhah F. Automated ECG segmentation using piecewise derivative time warping. Int J Biomed Sci 2007; 1: 181–185.Search in Google Scholar

Received: 2012-9-10
Accepted: 2013-1-28
Published Online: 2013-03-01
Published in Print: 2013-04-01

©2013 by Walter de Gruyter Berlin Boston

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