ECG-based Detection of Left Ventricle Hypertrophy

Gabriel Tozatto Zago, Rodrigo Varejão Andreão, Mario Sarcinelli Filho

Abstract

This works proposes an electrocardiogram based approach for left ventricle hypertrophy (LVH) classification. LVH classification is based on features extracted from the ECG signal, where the main features are the ones related to the QRS wave amplitude and duration. Instead of working on only one LVH criteria, we employed a score which explores the complementarity of the best criteria through a fusion strategy. The best criteria are the ones which discriminate normal and LVH ECGs according to the t-test. We carried out experiments in a database with a group of fifty men, where a half has LVH. The gold standard to detect LVH was the left ventricle mass index measured using echocardiography. Our approach achieved a sensitivity of 69.7%, outperforming all LVH criteria.

References

  1. Angelo, L. C. S., Vieira, M. L. C., Rodrigues, S. L., Morelato, R. L., Pereira, A. C., Mill, J. G., e Krieger, J. E., 2007. Echocardiographic reference values in a sample of asymptomatic adult brazilian population. Arquivos Brasileiros de Cardiologia, 89(3):184-190.
  2. Fawcett, T., 2006. An introduction to roc analysis. Pattern Recognition Letters, 27(8):861-874.
  3. Ganau, A., Devereux, R. B., Roman, M. J., De Simone, G., Pickering, T. G., e Saba, P. S., 1992. Patterns of left ventricular hypertrophy and geometric remodelling in essential hypertension. Journal of the American College of Cardiology, 19(7):1550-1558.
  4. Grant, R. P., 1957. Clinical Electrocardiography: The Spatial Vector Approach. Gubner, R. e Ungerleider, H. E. (1943). Electrocardiographic criteria of left ventricular hypertrophy. Arch Intern Med, 72:196- 209.
  5. Haider, A. W., Larson, M. G., Benjamin, E. J., e Levy, D., 1998. Increased left ventricular mass and hypertrophy are associated with increased risk for sudden death. Journal of the American College of Cardiology, 32(5):1454-1459.
  6. Hamilton, P., 2002. Open source ecg analysis. Computers in Cardiology, volume 29, pages 101-104.
  7. Kreger, B. E., Cupples, L. A., e Kannel,W. B., 1987. The electrocardiogram in prediction of sudden death: Framingham study experience. American Heart Journal, 113(2 I):377-382.
  8. Lewis, T., 1914. Observations upon ventricular hypertrophy with especial reference preponderance of one or other chamber. Heart, 5:367-403.
  9. Martínez, J. P., Almeida, R., Olmos, S., Rocha, A. P., e Laguna, P. (2004). A wavelet-based ecg delineator evaluation on standard databases. IEEE Transactions on Biomedical Engineering, 51(4):570-581.
  10. Mazzaro, C. D. L., Costa, F. D. A., Bombig, M. T. N., Luna Filho, B., De Paola, Â. A. V., Carvalho, A. C. D. C., Da Costa, W., Fonseca, F. A. H., e Póvoa, R. M. D. S., 2008.Ventricular mass and electrocardiographic criteria of hypertrophy: Evaluation of new score. Arquivos Brasileiros de Cardiologia, 90(4):227- 231+249-253.
  11. Roman, M. J., Kligfield, P., e Devereux, R. B., 1987. Geometric and functional correlates of electrocardiographic repolarization and voltage abnormalities in aortic regurgitation. Journal of the American College of Cardiology, 9(3):500-508.
  12. Sokolow, M. e Lyon, T. P., 1949. The ventricular complex in left ventricular hypertrophy as obtained by unipolar precordial and limb leads. American Heart Journal, 37(2):161-186.
  13. Tunstall-Pedoe, H., Kuulasmaa, K., Amouyel, P., Arveiler, D., Rajakangas, A. M., e Pajak, A., 1994. Myocardial infarction and coronary deaths in the world health organization MONICA project: Registration procedures, event rates, and case-fatality rates in 38 populations from 21 countries in four continents. Circulation, 90(1):583-612.
  14. Zhang, Q., Manriquez, A. I., Médigue, C., Papelier, Y., e Sorine, M., 2006. An algorithm for robust and efficient location of t-wave ends in electrocardiograms. IEEE Transactions on Biomedical Engineering, 53(12):2544-2552.
  15. Zhou, S. H., Helfenbein, E. D., Lindauer, J. M., Gregg, R. E., e Feild, D. Q. (2009). Philips qt interval measurement algorithms for diagnostic, ambulatory, and patient monitoring ecg applications. Annals of Noninvasive Electrocardiology, 14(SUPPL. 1):S3-S8.
  16. Zhou, X. eWei, D. (2011). A multidifferentiator-based approach to the reliable determination of t-wave offset in electrocardiograms. Journal of electrocardiology, 44(3):330-339.
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Paper Citation


in Harvard Style

Tozatto Zago G., Andreão R. and Sarcinelli Filho M. (2014). ECG-based Detection of Left Ventricle Hypertrophy . In Proceedings of the 2nd International Congress on Cardiovascular Technologies - Volume 1: CARDIOTECHNIX, ISBN 978-989-758-055-0, pages 17-21. DOI: 10.5220/0005069600170021


in Bibtex Style

@conference{cardiotechnix14,
author={Gabriel Tozatto Zago and Rodrigo Varejão Andreão and Mario Sarcinelli Filho},
title={ECG-based Detection of Left Ventricle Hypertrophy},
booktitle={Proceedings of the 2nd International Congress on Cardiovascular Technologies - Volume 1: CARDIOTECHNIX,},
year={2014},
pages={17-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005069600170021},
isbn={978-989-758-055-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Congress on Cardiovascular Technologies - Volume 1: CARDIOTECHNIX,
TI - ECG-based Detection of Left Ventricle Hypertrophy
SN - 978-989-758-055-0
AU - Tozatto Zago G.
AU - Andreão R.
AU - Sarcinelli Filho M.
PY - 2014
SP - 17
EP - 21
DO - 10.5220/0005069600170021