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Medical & Biological Engineering & Computing
Published in: Medical & Biological Engineering & Computing 11/2011

01-11-2011 | Original Article

QRS subtraction for atrial electrograms: flat, linear and spline interpolations

Authors: A. Ahmad, J. L. Salinet Jr., P. Brown, J. H. Tuan, P. Stafford, G. Andre Ng, F. S. Schlindwein

Published in: Medical & Biological Engineering & Computing | Issue 11/2011

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Abstract

The main objective of this article is to implement and compare QRS subtraction techniques for intra-cardiac atrial electrograms based on using the surface ECG as a reference. A band-pass filter between 8 and 20 Hz followed by rectification, and then a low-pass filter at 6 Hz are used for QRS detection. QRS subtraction was performed using three different approaches: flat, linear and spline interpolations. QRS subtraction affects the power of the signals but it normally does not affect the dominant frequency. The average power of the atrial electrograms after QRS subtraction is significantly reduced for frequencies above 10 Hz.
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Literature
1.
Ahmad A, Schlindwein FS, Ng GA (2010) Comparison of computation time for estimation of dominant frequency of atrial electrograms: fast fourier transform, Blackman Tukey, autoregressive and multiple signal classification. J Biomed Sci Eng (JBiSE) 3:843–847CrossRef
2.
Anuradha B, Kumar KS, Reddy VCV (2008) Classification of cardiac signals using time domain methods. APRN J Eng Appl Sci 3(3):7–12
3.
Berenfeld O (2007) Quantifying activation frequency in atrial fibrillation to establish underlying mechanism and ablation guidance. Heart Rhythm 4:1225–1234PubMedCrossRef
4.
Berenfeld O, Mandapati R, Dixit S et al (2000) Spatially distributed dominant excitation frequencies reveal hidden organization in atrial fibrillation in the Langendorff-perfused sheep heart. J Cardiovasc Electrophysiol Il:869–879CrossRef
5.
Boardman A, Schlindwein FS, Thakor NV et al (2002) Detection of asphyxia using heart rate variability. Med Biol Eng Comput 40:618–624PubMedCrossRef
6.
Castells F, Mora C, RIeta JJ et al (2005) Estimation of atrial fibrillatory wave from single-lead atrial fibrillation electrocardiograms using principal component analysis concepts. Med Biol Eng Comput 43:557–560PubMedCrossRef
7.
Cooley J, Tukey O (1965) An algorithm for the machine calculation of complex Fourier series. Math Comput 19:297–301CrossRef
8.
Greville T (1969) Theory and applications of spline functions. Academic Press Inc, New York
9.
Husser D, Stridh M, Sornmo L et al (2004) Frequency analysis of atrial fibrillation from the surface electrocardiogram. Indian Pacing Electrophysiol J 4(3):122–136PubMed
10.
Kay SM, Marple SL (1981) Spectrum analysis—a modern perspective. Proc IEEE 69(11):1380–1419CrossRef
11.
Lin Y-J, Higa S, Kao T et al (2007) Validation of the frequency spectra obtained from the noncontact unipolar electrograms during atrial fibrillation. J Cardiovasc Electrophysiol 18:1147–1153PubMedCrossRef
12.
Mandapati R, Skanes A, Chen J et al (2000) Stable microreentrant sources as a mechanism of atrial fibrillation in the isolated sheep heart. Circulation 101:194–199PubMed
13.
Mandapati R, Skanes A, Chen J et al (2000) Stable microreentrant sources as a mechanism of atrial fibrillation in the isolated sheep heart. Circulation 101:194–199PubMed
14.
Nademanee K, McKenzie J, Kosar E et al (2004) A new approach for catheter ablation of atrial fibrillation: mapping of the electrophysiologic substrate. J Am Col Cardiol 43(11):2044–2053CrossRef
15.
Ng J, Goldberger JJ (2007) Understanding and interpreting dominant frequency analysis of AF electrograms. J Cardiovasc Electrophysiol 18:680–685PubMedCrossRef
16.
Okada M (1979) A digital filter for the QRS complex detection. IEEE Trans Biomed Eng BME 26(12):700–703CrossRef
17.
Pan J, Willis Tompkins J (1985) A real-time QRS detection algorithm. IEEE Trans Biomed Eng BME-32(3):230–236CrossRef
18.
Shah D, Yamane T, Choi K-J et al (2004) QRS subtraction and the ECG analysis of atrial ectopics. ANE 9(4):389–398PubMed
19.
Skanes AC, Mandapati R, Berenfeld O et al (1998) Spatiotemporal periodicity during atrial fibrillation in the isolated sheep heart. Circulation 98:1236–1248PubMed
20.
Slocum J, Byrom E, McCarthy L et al (1985) Computer detection of atrioventricular dissociation from surface electrocardiograms during wide QRS complex tachycardias. Circulation 72:1028–1036PubMedCrossRef
21.
Stridh M, Sörnmo L (2001) Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation. IEEE Trans Biomed Eng 48:1CrossRef
22.
Thakor NV, John Webster G, Tompkins WJ (1984) Estimation of QRS complex power spectra for design of a QRS filter. IEEE Trans Biomed Eng BME-31(11):702–706CrossRef
23.
Schumaker L (1993) Spline function: basic theory. Krieger Publishing Company, Malabar
24.
Vaseghi SV (2008) Advanced digital signal processing and noise reduction, 3rd edn. Wiley, ChichesterCrossRef
25.
Vaya C, Rieta J (2007) ECG signal quantization effects in the analysis of atrial fibrillation. In: Computers in cardiology. Durham, NC, pp 477–480
26.
William JE, Thomson RE (2001) Data analysis methods in physical oceanography. Gulf Professional Publishing, Oxford
Metadata
Title
QRS subtraction for atrial electrograms: flat, linear and spline interpolations
Authors
A. Ahmad
J. L. Salinet Jr.
P. Brown
J. H. Tuan
P. Stafford
G. Andre Ng
F. S. Schlindwein
Publication date
01-11-2011
Publisher
Springer-Verlag
Published in
Medical & Biological Engineering & Computing / Issue 11/2011
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-011-0829-9

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