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Licensed Unlicensed Requires Authentication Published by De Gruyter October 25, 2006

Spatiotemporal correlation analyses: a new procedure for standardisation of DC magnetocardiograms

  • Matthias Goernig , Christian Tute , Mario Liehr , Stephan Lau , Jens Haueisen , Hans R. Figulla and Uwe Leder

Abstract

There is a lack of standard methods for the analysis of magnetocardiograms (MCGs). MCG signals have a shape similar to the ECG (P wave, QRS complex, T wave). High-quality multichannel recordings can indicate even slight disturbances of de- and repolarisation. The purpose of our study was to apply a new approach in the analysis of signal-averaged DC-MCGs. DC-MCGs (31-channel) were recorded in 182 subjects: 110 patients after myocardial infarction and 72 controls. Spatiotemporal correlation analysis of the QRS complex and T wave patterns throughout the entire heart cycle was used to analyse homogeneity of de- and repolarisation. These plots were compared to standard ECG analyses (electrical axis, Q wave, ST deviation, T polarity and shape). Spatiotemporal correlation analyses seem to be applicable in assessing the course of electrical repolarisation with respect to homogeneity. MCG provided all diagnostic information contained in common ECG recordings at high significance levels. The ECG patterns were included in 5/8 of our parameters for electrical axis, 6/8 for Q-wave, 7/8 for ST deviation and 5/8 for T-polarity based on two time series of correlation coefficients. We conclude that our spatiotemporal correlation approach provides a new tool for standardised analysis of cardiac mapping data such as MCG.


Corresponding author: Matthias Görnig, Department of Internal Medicine I, Friedrich Schiller University Jena, Erlanger Allee 101, 07747 Jena, Germany Phone: +49-3641-9324101 Fax: +49-3641-9324102

References

1 Dössel O, David B, Fuchs M, Krüger J, Kullmann WH, Ludeke KM. A modular approach to multichannel magnetometry. Clin Phys Physiol Meas1991: 12 (Suppl B): 75–79.10.1088/0143-0815/12/B/010Search in Google Scholar

2 Fenici R, Brisinda D, Meloni AM. Clinical application of magnetocardiography. Expert Rev Mol Diagn2005; 5: 291–313.10.1586/14737159.5.3.291Search in Google Scholar PubMed

3 Huck M, Haueisen J, Hoenecke O. QRS amplitude and shape variability in magnetocardiograms. PACE2000; 23: 234–242.10.1111/j.1540-8159.2000.tb00805.xSearch in Google Scholar PubMed

4 Koskinen R, Lehto M, Vaanana H, et al. Measurement and reproducibility of magnetocardiographic filtered atrial signal in patients with paroxysmal lone atrial fibrillation and in healthy subjects. J Electrocardiol2005; 38: 330–336.10.1016/j.jelectrocard.2005.03.012Search in Google Scholar PubMed

5 Park JW, Hill PM, Chung N, Hugenholz PG, Jung F. Magnetocardiography predicts coronary artery disease in patients with acute chest pain. Ann Noninvas Electrocardiol2005; 10: 312–323.10.1111/j.1542-474X.2005.00634.xSearch in Google Scholar PubMed PubMed Central

6 Platzek D, Nowak H, Gießler F, Röther J, Eiselt M. Active shielding to reduce low frequency disturbances in direct current near biomagnetic measurements. Rev Sci Instrum1999; 70: 2465–2470.10.1063/1.1149779Search in Google Scholar

Published Online: 2006-10-25
Published in Print: 2006-10-01

©2006 by Walter de Gruyter Berlin New York

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