Automated heart abnormality detection using sparse linear classifiers

IEEE Engineering in Medicine and Biology Magazine

Volumn 26, Issue 2, 2007, Pages 56-63

  Qazi, Maleeha ^a   Fung, Glenn ^a,d   Krishnan, Sriram ^a   Bi, Jinbo ^a   Rao, R Bharat ^a   Katz, Alan S ^b,c,d  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b ST FRANCIS HOSPITAL   (United States)

^c STONY BROOK UNIVERSITY   (United States)

^d SUNY Stony Brook ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AUTOMATION; COMPUTER AIDED DESIGN; CONFERENCE PAPER; CORONARY ARTERY DISEASE; DIAGNOSTIC PROCEDURE; ELECTROCARDIOGRAM; HEART DISEASE; IMAGING; MATHEMATICAL ANALYSIS; MEDICAL SPECIALIST;

EID: 33947698006     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/MEMB.2007.335591     Document Type: Conference Paper

References (17)

1. M.D. Cerqueira, N.J. Weissman, V. Dilsizian, A.K. Jacobs, S. Kaul, W.K. Laskey, D.J. Pennell, J.A. Rumberger, T. Ryan, and M.S. Verani, "Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association," Circulation, vol. 105, pp. 539-542, Jan. 2002.
2. C.M. Otto, Textbook of Clinical Echocardiography. 2nd ed. Philadelphia, PA: W.B. Saunders, 2000.
3. X.S. Zhou, D. Comaniciu, and A. Gupta, "An information fusion framework for robust shape tracking," IEEE Trans. Pattern Anal. Machine Intell., vol. 27, pp. 115-129, Jan. 2005.
4. D. Comaniciu, "Nonparametric information fusion for motion estimation," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, Madison, WI, June 2003, vol. 1, pp. 59-66.
5. B. Georgescu, X.S. Zhou, D. Comaniciu, and A. Gupta, "Database- guided segmentation of anatomical structures with complex appearance," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, San Diego, CA, 2005, pp. 429-436.
6. D. Comaniciu, X.S. Zhou, and S. Krishnan, "Robust real-time tracking of myocardial border: An information fusion approach," IEEE Trans. Med. Imag., vol. 23, pp. 849-860, July 2004.
7. American Heart Association (2005), Heart disease and stroke statistics 2005 update [Online]. Available: http://www.americanheart.org/downloadable/ heart.
8. World Health Organization (2004), The atlas of global heart disease and stroke [Online]. Available: http://www.who.int/cardiovasculardiseases/resources/ atlas/.
9. P.S. Bradley and O.L. Mangasarian, "Feature selection via concave minimization and support vector machines," in Proc. 15th Int. Conf. Machine Learning, Madison, WI, July 1998, pp. 82-90.
10. M. Dundar, G. Fung, L. Bogoni, M. Macari, A. Megibow, and B. Rao, "A methodology for training and validating a CAD system and potential pitfalls," in Proc. Computer Assisted Radiology and Surgery Conf., Chicago, IL, June 2004, pp. 837-844.
11. R. Duda, P. Hart, and D. Stork, Pattern Classification. New York: Wiley, 2001.
12. R. Hoffmann, T.H. Marwick, D. Poldermans, H. Lethen, R. Ciani, P. van der Meer, H.-P. Tries, P. Gianfagna, P. Fioretti, J.J. Bax, M.A. Katz, R. Erbel, and P. Hanrath, "Refinements in stress echocardiographic techniques improve inter-institutional agreement in interpretation of Dobutamine stress echocardiograms," Eur. Heart J., vol. 23, no. 10, pp. 821-829, May 2002.
13. T. Joachims (2002), SVMlight [Online]. Available: http://svmlight. joachims.org.
14. Y. Qi, T.P. Minka, R.W. Picard, and Z. Ghahramani, "Predictive automatic relevance determination by expectation propagation," in Proc. 21st Int. Conf. Machine Learning, Alberta, Canada, 2004, pp. 85-92.
15. S. Mika, G. Ratsch, and K.-R. Muller, "A mathematical programming approach to the kernel Fisher algorithm," in Proc. Neural Information Processing Systems 2000, Denver, CO, pp. 591-597, 2000.
16. S. Mika, G. Ratsch, J. Weston, B. Scholkopf, and K.-R. Muller, "Fisher discriminant analysis with kernels," in Neural Networks for Signal Processing IX, Proc. 1999 IEEE Signal Processing Workshop, Madison, WI, pp. 41-48, Aug. 1999.
17. O.L. Mangasarian, "Generalized support vector machines," in Advances in Large Margin Classifiers, A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, Eds. Cambridge, MA: MIT Press, 2000, pp. 135-146.