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Parallel Multiclass Support Vector Interpretation of Haemodynamic Parameters for Manifestation of Aortic and Arterial Occlusive Diseases

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Soft Computing Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 195))

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Abstract

Aortic and arterial occlusive diseases are congenital conditions manifested in impedance plethysmography and are difficult to interpret. A parallel multiclass support vector classification of haemodynamic parameters computed from plethysmographic observations is proposed for diagnosis of aortoarteritis, atherosclerotic narrowing and coarctation of aorta. The proposed support vector algorithm was able to detect more precisely the presence of thrombotic occlusions at proximal and distal arteries. The proposed method provided better accuracy and sensitivity of 97.46% and 98.3% compared to principal component analysis (PCA) based backpropagation and non-weighted support vector architectures respectively. The results of the genotype were ably supported by receiver operating characteristics (ROC) curves which depict a ratio of true positive rate and false positive rate of over 0.9 for all classes as compared with ratios varying from 0.7 to 0.9 for majority of classes as observed in case of non weighted architecture. A reduction of over 60% in negative likelihood ratio with a 5% increase in negative predictive value was observed as compared to Elman and PCA based backpropagation architectures. The results were validated from angiographic findings at Grant Medical College, J.J. Hospital, and Bhabha Atomic Research Centre (BARC) all in Mumbai. The proposed method also distinguished cases with nephritic syndrome, lymphangitis, and venous disorders against those with arterial occlusive diseases. Application of the proposed method has potential to enhance performance of impedance plethysmography.

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References

  1. Jindal, G.D., Ananthakrishnan, T.S., Kataria, S.K.: An introduction to impedance cardiovasography. In: Proc. Symposium on Biomedical Engineering and Nuclear Medicine (SBME-NM). Bhabha Atomic Research Centre, Mumbai E /003 (2001)

    Google Scholar 

  2. Jindal, G.D., Ananthakrishnan, T.S., Kataria, S.K.: Electrical impedance and photo plethysmography for medical applications. In: Proc. Symposium on Biomedical Engineering and Nuclear Medicine (SBME-NM), Bhabha Atomic Research Centre, Mumbai, E /025, Microfiche 2005/60371 (Q), pp. 134–138 (2005)

    Google Scholar 

  3. Golden, J.C., Miles, D.S.: Assessment of Peripheral Haemodynamic using Impedance Plethysmography. Physical Therapy 66(10), 1544–1547 (1986)

    Google Scholar 

  4. Mohapatra, S.N., Helena, A.M.: Measurement of peripheral blood flow by electrical Impedance technique. Journal of Med. Engg. & Tech. 3(3), 132–137 (1979)

    Article  Google Scholar 

  5. Corciova, C., Ciorap, R., Zaharia, D., Matei, D.: On using impedance plethysmography for estimation of blood flow. In: 2011 IEEE International Workshop on Medical Measurements and Applications Proceedings (MeMeA), pp. 84–87 (2011)

    Google Scholar 

  6. Corciova, C., Ciorap, R., Zaharia, D., Matei, D.: Hemodynamic monitoring using peripheral impedance plethysmography. In: 7th International Symposium on Advanced Topics in Electrical Engineering (ATEE), pp. 1–4 (May 2011)

    Google Scholar 

  7. Lin, C.H.: Assessment of bilateral photoplethysmography for lower limb peripheral vascular occlusive disease using color relation analysis classifier. Comput. Methods Prog. Biomed. 103(3), 121–131 (2011)

    Article  Google Scholar 

  8. Hull, R.D., Raskob, G.E., Carter, C.J.: Serial impedance plethysmography in pregnant patients with clinically suspected deep-vein thrombosis, clinical validity of negative findings. Annals of Internal Medicine 112(9), 663–667 (1990)

    Google Scholar 

  9. Wang, J.J., Hu, W.C., Kao, T., Peng Liu, C., Lin, S.-K.: Development of forearm impedance plethysmography for the minimally invasive monitoring of cardiac pumping function. Journal of Biomedical Science and Engineering 4(6), 122–129 (2011)

    Article  Google Scholar 

  10. Peripheral Pulse Analyzer, Internet, http://www.larsentoubro.com/lntcorporate/uploads/product/Nivomon.pdf (last accessed June 2012)

  11. Webster, J., Shankar, R., Yong, S.S.: The Contribution of Vessel Volume Change and Blood Resistivity Change to the Electrical Impedance Pulse. IEEE Transactions on Biomedical Engineering 32(3), 192–198 (1985)

    Article  Google Scholar 

  12. Brown, B.H., Pryce, W.H., Clarke, R.G.: Impedance Plethysmography: Can it measure Changes in limb blood flow. Medical & Biological Engg. 13, 674–681 (1975)

    Article  Google Scholar 

  13. Kubicek, W.G., Kottke, E.J., Ramos, F.J., Patterson, R.P., Witsoe, D.A., Labree, J.W., Remole, W.: The Minnesota impedance cardiograph theory and applications. Biomedical Engg. 9, 410–416 (1974)

    Google Scholar 

  14. Ananthakrishnan, T.S., Jindal, G.D., Sinha, V., Jain, R.K., Kataria, S.K., Deshpande, A.K.: Clinical validation of software for a versatile variability analyzer: Assessment of autonomic function. Journal of Medical Physics 32(3), 97–102 (2007)

    Article  Google Scholar 

  15. Jindal, G.D., Babu, J.P.: Calibration of dZ/dt in Impedance Plethysmography. Med. & Bio. Engg. & Comput. 23, 279–280 (1985)

    Article  Google Scholar 

  16. Bhuta, A.C., Babu, J.P., Parulkar, G.B.: Technical aspects of impedance plethysmography. Journal of Post Graduate Medicine 36, 264–270 (1990)

    Google Scholar 

  17. Jindal, G.D., Babu, J.P., Nerurkar, S.N., Kelkar, M.D., Deshpande, A.K.: Corrected formula for estimating peripheral blood flow by impedance plethysmography. Med. Bio.Engg. Comput. 32, 625–631 (1994)

    Article  Google Scholar 

  18. Karamchandani, S.K., Desai, U.B., Merchant, S.N., Jindal, G.D.: Principal Component Analysis Based Backpropagation Algorithm for Diagnosis of Peripheral Arterial Occlusive Diseases. In: 22nd Canadian Conference on Electrical and Computer Engineering (CCECE), Newfoundland, Canada, May 3-6, pp. 482–485. IEEE (2009)

    Google Scholar 

  19. Babu, J.P., Ananthakrishnan, T.S., Jindal, G.D.: PC based impedance cardio-vasography, SBME-NM, BARC (2000)

    Google Scholar 

  20. Ozcan, O., Mustafa, S., Duran, D.A., Bilal, G., Omer, A., Gokhan, C., Serkan, T., Dursun, A., Yucel, B., Hatice, S.: Do collaterals affect heart rate variability in patients with acute myocardial infarction? Coronary Artery Disease 15(7), 405–411 (2004)

    Article  Google Scholar 

  21. Hill, R.D., Smith, R.B.: Examination of the extremities: Pulses, Bruits, and Phlebitis. Clinical Methods, 148–153 (1990)

    Google Scholar 

  22. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines (2001)

    Google Scholar 

  23. Ivanciuc, O.: Applications of support vector machines in chemistry. Reviews in Computational Chemistry 23, 291–400 (2007)

    Article  Google Scholar 

  24. Hsu, C., Lin, C.: A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks 13, 415–425 (2002)

    Article  Google Scholar 

  25. Huang, Y.-M., Du, S.-X.: Weighted support vector machine for classification with uneven training class sizes. In: Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, pp. 4365–4369 (2005)

    Google Scholar 

  26. Keerthi, S.S., Lin, C.J.: Asymptotic behaviors of support vector machines with Gaussian kernel. Neural Computation 15(7), 1667–1689 (2003)

    Article  MATH  Google Scholar 

  27. Lin, H.T., Lin, C.J.: A Study on Sigmoid Kernels for SVM and the Training of non-PSD Kernels by SMO-type Methods. [Technical Report]. Department of Computer Science and Information Engineering, National Taiwan University, pp. 3–4 (2003)

    Google Scholar 

  28. Chamasemani, F.F., Singh, Y.P.: Multiclass Support Vector Machine (SVM) classifiers - An application in hypothyroid detection and classification. In: Sixth International Conference on IEEE Bio-Inspired Computing Theories and Applications (BIC-TA), pp. 351–356 (2011)

    Google Scholar 

  29. Hsu, C., Chang, C., Lin, C.: A practical guide to support vector classification, [Technical Report]. Department of Computer Science and Information Engineering, National Taiwan University, pp. 3–4 (2003)

    Google Scholar 

  30. Wu, T.F., Lin, C.J., Weng, R.C.: Probability Estimates for Multi-class Classification by Pairwise Coupling. Journal of Machine Learning Research 5, 975–1005 (2004)

    MathSciNet  MATH  Google Scholar 

  31. Liu, Y., You, Z., Cao, L.: A novel and quick SVM-based multiclass classifier. Pattern Recognition 39, 2258–2264 (2006)

    Article  MATH  Google Scholar 

  32. Karamchandani, S.K., Desai, U.B., Merchant, S.N., Jindal, G.D.: Principal Component Analysis Based Backpropagation Algorithm for Diagnosis of Peripheral Arterial Occlusive Diseases. In: 22nd Canadian Conference on Electrical and Computer Engineering (CCECE), Newfoundland, Canada, pp. 482–485. IEEE (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Indian Institute of Technology – Bombay, Mumbai, 400076, India

    S. H. Karamchandani & S. N. Merchant

  2. Kalasalingam University, Krishnankoil, Virudhunagar Dt, TN, 626126, India

    V. K. Madan

  3. Sneha Health Care Centre, Mumbai, 400602, India

    P. M. Kelkar

  4. Indian Institute of Technology – Hyderabad, Hyderabad, 502205, India

    U. B. Desai

Authors
  1. S. H. Karamchandani
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  2. V. K. Madan
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  3. P. M. Kelkar
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  4. S. N. Merchant
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  5. U. B. Desai
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Corresponding author

Correspondence to S. H. Karamchandani .

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Editors and Affiliations

  1. , Department of Automation & Applied Infor, Aurel Vlaicu University of Arad, Blvd. Revolutiei 77, Arad, 310130, Romania

    Valentina Emilia Balas

  2. , Institute of Intelligent Engineering, Óbuda University, Bécsi út 96/b, Budapest, 1034, Hungary

    János Fodor

  3. Dept. Measurement &, Information Systems, Technical University Budapest, Magyar tudósok körutja 2, Budapest, 1521, Hungary

    Annamária R. Várkonyi-Kóczy

  4. , Department of Informatics, University of Szeged, Arpad ter 2., Szeged, 6720, Hungary

    Joszef Dombi

  5. , School of Electrical and Information, University of South Australia, 5095, Adelaide, Australia

    Lakhmi C. Jain

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Karamchandani, S.H., Madan, V.K., Kelkar, P.M., Merchant, S.N., Desai, U.B. (2013). Parallel Multiclass Support Vector Interpretation of Haemodynamic Parameters for Manifestation of Aortic and Arterial Occlusive Diseases. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A., Dombi, J., Jain, L. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33941-7_42

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  • DOI: https://doi.org/10.1007/978-3-642-33941-7_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33940-0

  • Online ISBN: 978-3-642-33941-7

  • eBook Packages: EngineeringEngineering (R0)

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