Volume 3 Number 6 (Nov. 2013)
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IJBBB 2013 Vol.3(6): 575-578 ISSN: 2010-3638
DOI: 10.7763/IJBBB.2013.V3.279

A Whitening Filtering Approach for the Detection of Abnormal Intra-QRS Potentials in Signal-Averaged Electrocardiograms

Chun-Cheng Lin
Abstract—The detection of extremely low-amplitude and high-frequency abnormal intra-QRS potentials (AIQP) in signal-averaged electrocardiograms is a potential technique to improve the diagnostic performance of the risk of ventricular arrhythmias. Instead of using the modeling residuals of the previous studies, this study develops a whitening filtering approach to whiten the input QRS wave and use the optimized filter coefficients to detect the presence of AIQP due to the high-frequency characteristics of AIQP that may increase the higher order coefficients. To demonstrate the performance of the proposed method for detecting the AIQP, a color noise with a frequency band ranged from 40 Hz to 250 Hz is embedded into the normal QRS wave to simulate AIQP, and the detection performance of AIQP is tested under four signal-to-noise ratios (SNRs) (AIQP vs. QRS) including -50 dB, -46 dB, -40 dB, and -34 dB. The study results demonstrate that the presence of AIQP can increase the amplitude of the higher order coefficients of the whitening filter. The accuracy of AIQP detection can at least reach 75%, 83%, 92%, and 96% under SNRs of -50 dB, -46 dB, -40 dB, and -34 dB, respectively, in the X, Y and Z leads.

Index Terms—Abnormal Intra-QRS potentials, signal-averaged electrocardiogram, ventricular arrhythmias, whitening filtering.

Chun-Cheng Lin is with the Department of Electrical Engineering, National Chin-Yi University of Technology, No.57, Sec. 2, Jhongshan Rd., Taiping Dist., Taichung 41170, Taiwan (e-mail: cclin@ncut.edu.tw).

 

Cite:Chun-Cheng Lin, "A Whitening Filtering Approach for the Detection of Abnormal Intra-QRS Potentials in Signal-Averaged Electrocardiograms," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 3, no. 6, pp. 575-578, 2013.

General Information

ISSN: 2010-3638 (Online)
Abbreviated Title: Int. J. Biosci. Biochem. Bioinform.
Frequency: Quarterly 
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal 
Abstracting/ Indexing:  Electronic Journals Library, Chemical Abstracts Services (CAS), Engineering & Technology Digital Library, Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
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