Magnetocardiography Based Spatiotemporal Correlation Analysis is Superior to Conventional ECG Analysis for Identifying Myocardial Injury |
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Authors: | Matthias Goernig Mario Liehr Christian Tute Markus Schlosser Jens Haueisen H R Figulla and U Leder |
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Institution: | (1) Clinic of Internal Medicine I, Friedrich-Schiller-University Jena, Erlanger Allee 101, 07740 Jena, Germany;(2) Biomagnetic Center, Clinic of Neurology, Friedrich-Schiller-University Jena, Erlanger Allee 101, 07740 Jena, Germany;(3) Institute of Biomedical Engineering and Informatics, University of Technology, Ilmenau, POB 100565, 98684 Ilmenau, Germany |
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Abstract: | Electrocardiogram (ECG) particular from tiny, non Q-wave myocardial infarction may lack striking infarct pattern. Spatiotemporal
correlation analysis (SCA) of multichannel magnetocardiogram (MCG) is a high-resolution “magnifying glass” to analyze homogeneity
of repolarization. SCA involves full 4D spatiotemporal information to identify abnormalities as empirically done by eye in
conventional ECG—but on an advanced level of analysis. We compared the discriminatory performance of SCA to ECG analysis in
identifying myocardial infarction. Eleven SCA parameters were taken from signal averaged 31-channel MCG and compared to infarct
indicators of ECG’s in 178 subjects: 108 patients (76 males, mean age 62 years) after myocardial infarction (16–64 d) and
70 controls (36 males, mean age 46 years). SCA improves the detection of myocardial injury: in 72.5% ECG (sensitivity 68.6%,
specificity 56%) and in 80.2% SCA parameters (sensitivity 72.6%, specificity 64%) separated patients from controls. SCA is
applicable for the analysis of de- and repolarization of cardiac mapping data. |
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Keywords: | Spatiotemporal correlation analysis Magnetocardiography Electrocardiography Myocardial infarction Coronary artery disease |
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