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Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals

Medical & Biological Engineering & Computing volume 46, pages 353–362 (2008)Cite this article

Abstract

In this paper, we have proposed a novel similarity-based weighting method (SBWM), which combines similarity measure and weighting based on trend association (WBTA) method proposed by Sun Yi et al. (ICNN&B international conference, vol 1, pp 266–269, 2005). The aim of this study is to improve the classification accuracy of atherosclerosis, which is a common disease among the public. The proposed method consists of three parts: (1) feature extraction part related with atherosclerosis disease using fast Fourier transformation (FFT) modeling and calculation of maximum frequency envelope of sonograms, (2) data pre-processing part using SBWM, including different similarity measures such as cosine amplitude method, max–min method, absolute exponential method, and exponential similarity coefficient, and (3) classification part using artificial immune recognition system (AIRS) and Fuzzy-AIRS classifier algorithms. While AIRS and Fuzzy-AIRS algorithms obtained 71.92 and 78.94% success rates, respectively, the combination of SBWM with classifier algorithms including AIRS and Fuzzy-AIRS obtained 100% success rate on all the similarity measures. These results show that SBWM has produced very promising results in the classification of atherosclerosis from carotid artery Doppler signals. In future, we will use a larger dataset to test the proposed method.

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Acknowledgments

This study is supported by the Scientific Research Projects of Selcuk University.

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Affiliations

  1. Department of Electrical and Electronics Engineering, Selcuk University, 42075, Konya, Turkey

    Kemal Polat & Salih Güneş

  2. Electronics Engineering Department, (Biomedical Research Group), Erciyes University, 38039, Kayseri, Turkey

    Fatma Latifoğlu & Sadık Kara

Authors
  1. Kemal Polat
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  2. Fatma Latifoğlu
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  3. Sadık Kara
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  4. Salih Güneş
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Corresponding author

Correspondence to Sadık Kara.

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Polat, K., Latifoğlu, F., Kara, S. et al. Usage of a novel, similarity-based weighting method to diagnose atherosclerosis from carotid artery Doppler signals. Med Biol Eng Comput 46, 353–362 (2008). https://doi.org/10.1007/s11517-007-0279-6

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  • DOI: https://doi.org/10.1007/s11517-007-0279-6

Keywords

  • Novel similarity-based weighting method
  • Atherosclerosis
  • Carotid artery
  • Fast Fourier transformation
  • Welch
  • AIRS
  • Fuzzy-AIRS
  • Hybrid systems