- Juho Väisänen1,
- Jesús Requena-Carrión2,
- Felipe Alonso-Atienza2,
- Jari Hyttinen1,
- José Luis Rojo-Álvarez2 &
- …
- Jaakko Malmivuo1
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Abstract
Experimental and inverse approaches have been applied in studying the contributions of different parts of the myocardium to the ECG measurements. Also optimal electrode locations for different clinical purposes have been studied by applying body surface maps. It is valuable to know where the measured ECG is actually generated. Thus the measurements can be designed to be most optimal to measure certain myocardial sources. Here we assess the contributions of 12 left ventricular segments to the potentials of 117 surface leads. The study is based on the numerical lead field analysis combined with the cardiac activation modeling. We analyzed the contributions of the signals generated by different segments to the total signal generated by the left ventricle. It was found that anterior segments have high contributions to the leads on the lower left thorax and inferior segments on the leads on the lower left back. These results were expected based on the previous clinical studies.
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References
Tragardh, E., Engblom, H., Pahlm, O.: How many ECG leads do we need? Cardiology Clinics 24 (3), 317–330 (2006)
Horacek, B.M., Warren, J.W., Penney, C.J., MacLeod, R.S., Title, L.M., Gardner, M.J., Feldman, C.L.: Optimal electrocardiographic leads for detecting acute myocardial ischemia. J Electrocardiol 34 Suppl, 97–111 (2001)
Kornreich, F.: Identification of best electrocardiographic leads for diagnosing acute myocardial ischemia. J. Electrocardiol 31 Suppl, 157–163 (1998)
Kornreich, F., Montague, T.J., Rautaharju, P.M., Block, P., Warren, J.W., Horacek, M.B.: Identification of best electrocardiographic leads for diagnosing anterior and inferior myocardial infarction by statistical analysis of body surface potential maps. Am. J. Cardiol. 58(10), 863–871 (1986)
Kornreich, F., Montague, T.J., Rautaharju, P.M.: Body surface potential mapping of ST segment changes in acute myocardial infarction. Implications for ECG enrollment criteria for thrombolytic therapy. Circulation 87(3), 773–782 (1993)
Finlay, D.D., Nugent, C.D., Donnelly, M.P., Lux, R.L., McCullagh, P.J., Black, N.D.: Selection of optimal recording sites for limited lead body surface potential mapping: a sequential selection based approach. BMC Med. Inform. Decis. Mak. 6, 9 (2006)
Aldrich, H.R., Hindman, N.B., Hinohara, T., Jones, M.G., Boswick, J., Lee, K.L., Bride, W., Califf, R.M., Wagner, G.S.: Identification of the optimal electrocardiographic leads for detecting acute epicardial injury in acute myocardial infarction. Am. J. Cardiol. 59(1), 20–23 (1987)
MacLeod, R.S., Lux, R.L., Taccardi, B.: A possible mechanism for electrocardiographically silent changes in cardiac repolarization. J. Electrocardiol. 30 Suppl, 114–121 (1998)
Burnes, J.E., Taccardi, B., MacLeod, R.S., Rudy, Y.: Noninvasive ECG imaging of electrophysiologically abnormal substrates in infarcted hearts: A model study. Circulation 101(5), 533–540 (2000)
He, B., Li, G., Zhang, X.: Noninvasive imaging of cardiac transmembrane potentials within three-dimensional myocardium by means of a realistic geometry anisotropic heart model. IEEE Trans Biomed Eng. 50(10), 1190–1202 (2003)
Fukuoka, Y., Oostendorp, T.F., Sherman, D.A., Armoundas, A.A.: Applicability of the single equivalent moving dipole model in an infinite homogeneous medium to identify cardiac electrical sources: a computer simulation study in a realistic anatomic geometry torso model. IEEE Trans Biomed Eng. 53(12 Pt 1), 2436–2444 (2006)
Brooks, D.H., MacLeod, R.S.: Electrical imaging of the heart. Signal Processing Magazine, 14(1), 24–42 (1997)
Requena Carrión, J., Väisänen, J., Rojo Álvarez, J.L., Hyttinen, J., Atienza, F.A., Malmivuo, J.: Numerical Analysis of the Resolution of Surface Electrocardiographic Lead Systems. In: proc. 4th Functional Imaging and Modeling of the Heart (2007)
Malmivuo, J., Plonsey, R.: Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields. Oxford University Press, New York (1995)
Johnson, C.R.: Computational and numerical methods for bioelectric field problems. Crit. Rev. Biomed. Eng 25(1), 1–81 (1997)
Kauppinen, P., Hyttinen, J., Laarne, P., Malmivuo, J.: A software implementation for detailed volume conductor modelling in electrophysiology using finite difference method. Comput. Methods Programs Biomed. 58(2), 191–203 (1999)
Ackerman, M.J.: The Visible Human Project. J. Biocommun 18(2), 14 (1991)
Kauppinen, P., Hyttinen, J., Heinonen, T., Malmivuo, J.: Detailed model of the thorax as a volume conductor based on the visible human man data. J. Med. Eng. Technol. 22(3), 126–133 (1998)
Atienza, F.A., Carrion, J.R., Alberola, A.G., Alvarez, J.L.R., Munoz, J.J.S., Sanchez, J.M., Chavarri, M.V.: A probabilistic model of cardiac electrical activity based on a cellular automata system. Revista Espanola De. Cardiologia 58(1), 41–47 (2005)
Kornreich, F., Rautaharju, P.M., Warren, J., Montague, T.J., Horacek, B.M.: Identification of best electrocardiographic leads for diagnosing myocardial infarction by statistical analysis of body surface potential maps. Am. J. Cardiol. 56(13), 852–856 (1985)
Takano, N.: Reduction of ECG Leads and Equivalent Sources Using Orthogonalization and Clustering Techniques. in Ragnar Granit Institute Tampere University of Technology (2002)
Wagner, G.S., Cowan, M.J., Flowers, N.C., Ginzton, L.E., Ideker, R.E., Laks, M.M., Selvester, R.H., Swiryn, S.R.: Report of Committee on Nomenclature of Myocardial Wall Segments. In: proc. Computerized Interpretation of Electrocardiograms VII proc. Engineering Foundation Conference (1984)
Startt/Selvester, R.H., Wagner, G.S., Ideker, R.E.: Myocardial Infaction. In: Macfarlane, P.W., Lawrie, T.D.V.(eds.). Comprehensive Electrocardiology: Theory and Practice in Health and Disease Pergamon Press, pp. 565–629 (1989)
Gabriel, S., Lau, R.W., Gabriel, C.: The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. Phys. Med. Biol. 41(11), 2251–2269 (1996)
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Ragnar Granit Institute, Tampere University of Technology, Tampere, Finland
Juho Väisänen, Jari Hyttinen & Jaakko Malmivuo
Teoría de la Señal y Comunicaciones, Universidad Carlos III, Leganés, Spain
Jesús Requena-Carrión, Felipe Alonso-Atienza & José Luis Rojo-Álvarez
- Juho Väisänen
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- Felipe Alonso-Atienza
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- Jari Hyttinen
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- José Luis Rojo-Álvarez
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- Jaakko Malmivuo
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Väisänen, J., Requena-Carrión, J., Alonso-Atienza, F., Hyttinen, J., Rojo-Álvarez, J.L., Malmivuo, J. (2007). Contributions of the 12 Segments of Left Ventricular Myocardium to the Body Surface Potentials. In: Sachse, F.B., Seemann, G. (eds) Functional Imaging and Modeling of the Heart. FIMH 2007. Lecture Notes in Computer Science, vol 4466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72907-5_31
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