An Automated Tool for the Detection of Electrocardiographic Diagnostic Features based on Spatial Aggregation and Computational Geometry

Liliana Ironi, Stefania Tentoni

Abstract

In this work we focus on Electrocardiographic diagnosis based on epicardial activation fields. The identification, within an activation map, of specific patterns that are known to characterize classes of pathologies provides an important support to the diagnosis of rhythm disturbances that can be missed by routine low resolution ECGs. Through an approach grounded on the integration of a Spatial Aggregation (SA) method with concepts borrowed from Computational Geometry, we propose a computational framework to automatically extract, from input epicardial activation data, a few basic features that characterize the wavefront propagation, as well as amore specific set of diagnostic features that identify an important class of rhythm pathologies due to block of conduction.

References

  1. Yip, K., Zhao, F.: Spatial aggregation: Theory and applications. J Artif Intell Res 5 (1996) 1-26
  2. Ironi, L., Tentoni, S.: On the problem of adjacency relations in the spatial aggregation approach. In Proc. 17th Int. Workshop on Qualitative Reasoning. (2003) 111-118
  3. Ironi, L., Tentoni, S.: Towards automated electrocardiac map interpretation: an intelligent contouring tool based on spatial aggregation. In Berthold, M.R., Lenz, H.J., Bradley, E., Kruse, R., Borgelt, C., eds.: Advances in Intelligent Data Analysis V, Berlin, Springer (2003) 397-417
  4. Ironi, L., Tentoni, S.: Automated detection of qualitative spatio-temporal features in electrocardiac activation maps. Artif Intell Med 39 (2007) 99-111
  5. Clifford, G. D., Azuaje, F., McSharry, P. E., eds.: Advanced Methods and Tools for ECG Analysis. Artech House Publishing, Boston/London (2006)
  6. Bratko, I., Mozetic, I., Lavrac, N.: Kardio: A Study in Deep and Qualitative Knowledge for Expert Systems. MIT Press, Cambridge, MA (1989)
  7. Weng, F., Quiniou, R., Carrault, G., Cordier, M. O.: Learning structural knowledge from the ECG. In: ISMDA-2001. Volume 2199. Berlin, Springer (2001) 288-294
  8. Kundu, M., Nasipuri, M., Basu, D. K.: A knowledge based approach to ECG interpretation using fuzzy logic. IEEE T Syst Man Cyb 28 (1998) 237-243
  9. Oster, H. S., Taccardi, B., Lux, R. L., Ershler, P. R., Rudy, Y.: Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events. Circulation (1997) 1012-1024
  10. Ramanathan, C., Ghanem, R. N., Jia, P., Ryu, K., Rudy, Y.: Noninvasive electrocardiographic imaging for cardiac electrophysiology and arrythmia. Nat Med (2004) 1-7
  11. Brandt, J. W., Algazi, V. R.: Continuous skeleton computation by Voronoi diagram. CVGIP: Image understanding 55 (1992) 329-338
  12. Sakai, H., Sugihara, K.: A method for stable construction of medial axes in figures. Electron Comm Jpn 2 89 (2006) 48-55
  13. Cranefield, P. F.: The Conduction of the Cardiac Impulse: the Slow Response and Cardiac Arrhythmias. Futura Publishing Co, Mount Kisco NY (1975)
  14. Burnes, J. E., Taccardi, B., Rudy, Y.: A noninvasive imaging modality for cardiac arrhythmias. Circulation 102 (2000) 2152-2158
  15. Burnes, J. E., Taccardi, B., Ershler, P. R., Rudy, Y.: Noninvasive electrocardiogram imaging of substrate and intramural ventricular tachycardia in infarcted hearts. J Am Coll Cardiol 38 (2001) 2071-2078
  16. de Bakker, J. M., van Capelle, F. J., Janse, M. J., Tasseron, S., Vermeulen, J. T., de Jonge, N., Lahpor, J.R.: Slow conduction in the infarcted human heart. Zigzag course of activation. Circulation 88 (1993) 915-926
  17. Colli Franzone, P., Guerri, L., Pennacchio, M.: Spreading of excitation in 3-D models of the anisotropic cardiac tissue. II. Effect of geometry and fiber architecture of the ventricular wall. Math Biosci 147 (1998) 131-171
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Paper Citation


in Harvard Style

Ironi L. and Tentoni S. (2011). An Automated Tool for the Detection of Electrocardiographic Diagnostic Features based on Spatial Aggregation and Computational Geometry . In Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011) ISBN 978-989-8425-38-6, pages 3-12. DOI: 10.5220/0003197500030012


in Bibtex Style

@conference{miad11,
author={Liliana Ironi and Stefania Tentoni},
title={An Automated Tool for the Detection of Electrocardiographic Diagnostic Features based on Spatial Aggregation and Computational Geometry},
booktitle={Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011)},
year={2011},
pages={3-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003197500030012},
isbn={978-989-8425-38-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011)
TI - An Automated Tool for the Detection of Electrocardiographic Diagnostic Features based on Spatial Aggregation and Computational Geometry
SN - 978-989-8425-38-6
AU - Ironi L.
AU - Tentoni S.
PY - 2011
SP - 3
EP - 12
DO - 10.5220/0003197500030012