전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제57권4호
  • /
  • Pages.729-734
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  • 2008
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

비침습적 관절질환 진단을 위한 관절음의 시주파수 분석

Time-frequency Analysis of Vibroarthrographic Signals for Non-invasive Diagnosis of Articular Pathology

  • 김거식 (전북대학교 대학원 전자정보공학부) ;
  • 송철규 (전북대학교 전자정보공학부) ;
  • 서정환 (전북대학교 재활의학과)
  • 발행 : 2008.04.01
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초록

Vibroarthrographic(VAG) signals, emitted by human knee joints, are non-stationary and multi-component in nature and time-frequency distributions(TFD) provide powerful means to analyze such signals. The objective of this paper is to classify VAG signals, generated during joint movement, into two groups(normal and patient group) using the characteristic parameters extracted by time-frequency transform, and to evaluate the classification accuracy. Noise within TFD was reduced by singular value decomposition and back-propagation neural network(BPNN) was used for classifying VAG signals. The characteristic parameters consist of the energy parameter, energy spread parameter, frequency parameter, frequency spread parameter by Wigner-Ville distribution and the amplitude of frequency distribution, the mean and the median frequency by fast Fourier transform. Totally 1408 segments(normal 1031, patient 377) were used for training and evaluating BPNN. As a result, the average value of the classification accuracy was 92.3(standard deviation ${\pm}0.9$)%. The proposed method was independent of clinical information, and showed good potential for non-invasive diagnosis and monitoring of joint disorders such as osteoarthritis and chondromalacia patella.

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참고문헌

  1. H. Yoshioka, K. Stevens, M. Genovese, M. F. Dillingham and P. Lang, "Articular cartilage of knee : normal patterns at MR imaging that mimic disease in healthy subjects and patients with osteoarthritis", Radiology, vol. 231, pp. 31-38, 2004 https://doi.org/10.1148/radiol.2311020453
  2. C. G. Peterfy, A. Guermazi, S. Zaim, P. F. J. Tirman, Y. Miaux, D. White, M. Kothari, Y. Lu, K. Fye and S. Zhao, "Whole-organ magnetic resonance imaging score(WORMS) of the knee in osteoarthritis", Osteoarthritis and Cartilage, vol. 12, pp. 177-190, 2004 https://doi.org/10.1016/j.joca.2003.11.003
  3. D. J. Fluhme, P. Z. Cohen, "Knee arthroscopy in the older patient", Operative Tech. Othopaedics, vol. 12, pp. 119-123, 2002 https://doi.org/10.1053/otor.2002.36173
  4. I. Van Breuseghem, "Ultrastructural MR imaging techniques of the knee articular cartilage: Problems for routine clinical application", Eur. Radio., vol. 14, pp. 184-192, 2004
  5. C. C. Jiang, J. H. Lee, T. T. Yuan, "Vibration arthrometry in the patients with failed total knee replacement", IEEE trans. Biomed. Eng., vol. 47, pp. 219-227, 2000 https://doi.org/10.1109/10.821764
  6. C. B. Frank, R. M. Rangayyan and G. D. Bell, "Analysis of knee joint sound signals for noninvasive diagnosis of cartilage pathology", IEEE Eng. Med. Bio. Magazine, vol. 9, pp. 65-68, 1990 https://doi.org/10.1109/51.62910
  7. G. F. McCoy, J. D. McCrea, D. E. Bevarland, W. G. Kernohan and R. A. B. Mollan, "Vibration arthrography as a diagnostic aid in disease of the knee", J. Bone Joint Surg., vol. 69, pp. 288-293, 1987
  8. Y. Shen, R. M. Rangayyan, G. D. Bell, C. B. Frank, Y. T. Zhang and K. O. Ladly, "Localization of knee joint cartilage pathology by multichannel vibroarthro graphy", Med. Eng. Phys. vol. 17, pp. 583-594, 1995 https://doi.org/10.1016/1350-4533(95)00013-D
  9. J. F. Prinz and K. W. Ng, "Characterization of sound emanating from the human temporomandibular joints", Archs. Oral. Biol., vol. 41, pp. 631-639, 1996 https://doi.org/10.1016/S0003-9969(96)00070-2
  10. S. E. Widmalm, W. J. Williams, D. Djurdjanovic and D. C. McKay, "The frequency range of TMJ sounds", J. Oral Rehab., vol. 30, pp. 335-346, 2003 https://doi.org/10.1046/j.1365-2842.2003.01099.x
  11. S. Tavathia, R. M. Rangayyan, C. B. Frank, G. D. Bell, K. O. Ladly and Y. T. Zhang, "Analysis of knee vibration signals using linear prediction", IEEE Trans. Biomed. Eng., vol. 39, pp. 959-970, 1992 https://doi.org/10.1109/10.256430
  12. Z. M. K. Moussavi, R. M. Rangayyan, G. D. Bell, C. B. Frank, K. O. Ladly and Y. T. Zhang, "Screening of vibroarthographic signals via adaptive segmentation and linear prediction modeling", IEEE Trans. Biomed. Eng., vol. 43, pp. 15-23, 1996 https://doi.org/10.1109/10.477697
  13. S. Krishnan, R. M. Rangayyan, G. D. Bell, C. B. Frank and K. O. Ladly, "Adaptive filtering, modelling and classification of knee joint vibroarthrographic signals for non-invesive diagnosis of articular cartilage pathology", Med. Biol. Eng. Comput., vol. 35, pp. 677-684, 1997 https://doi.org/10.1007/BF02510977
  14. R. M. Rangayyan, S. K. Krishnan, G. D. Bell, C. B. Frank and K. O. Ladly, "Parametric representation and screening of knee joint vibroarthrographic signals", IEEE Trans. Biomed. Eng., vol. 44, pp. 1068-1074, 1997 https://doi.org/10.1109/10.641334
  15. J. H. Lee, C. C. Jiang, T. T. Yuan, "Vibration arthrometry in patients with knee joint disorders", IEEE Trans. Biomed. Eng., vol. 47, pp. 1131-1133, 2000 https://doi.org/10.1109/10.855942
  16. Y. T. Zhang, C. B. Frank, R. M. Rangayyan and G. D. Bell, "Mathematical modeling and spectrum analysis of the physiological patello-femoral pulse train produced by slow knee movement", IEEE Trans. Biomed. Eng., vol. 39, pp. 971-979, 1992 https://doi.org/10.1109/10.256431
  17. S. Krishnan, R. M. Rangayyan, G. D. Bell and C. B. Frank, "Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology", IEEE trans. Biomed. Eng., vol. 47, pp. 773-783, 2000 https://doi.org/10.1109/10.844228
  18. K. Umpathy and S. Krishnan, "Modified local discriminant bases algorithm and its application in analysis of human knee joint vibration signals", IEEE Trans. Biomed. Eng., vol. 53, pp. 517-523, 2006 https://doi.org/10.1109/TBME.2005.869787
  19. R. M. Rangayyan and Y. F. Wu, "Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions", Med. Bio. Eng. Comput., vol. 46, pp 223-232, 2008 https://doi.org/10.1007/s11517-007-0278-7
  20. T. Mu, K. Nandy and R. M. Rangayyan, "Strict 2-surface proximal classification of knee joint vibroarthrographic signals", in Proc. of 29th Ann. Int. Conf. IEEE EMBS, pp. 4911-4914, Lyon, France, Aug., 2007
  21. B. Boashash, "Introduction to the concepts of time-frequency signal analysis and processing, Part I, Elsvier, Oxford, 2003
  22. H. Hassanpour, "Improved SVD-based technique for enhancing time-frequency representation of signals", IEEE Int. Sympos. Circ. Syst., New Orleans, pp. 1819-1822, 2007
  23. J. Luo, K. Ying and J. Bai, "Savitzky-Golay smoothing and differentiation filter for even number data", Signal Process., vol. 85, pp. 1429-1434, 2005 https://doi.org/10.1016/j.sigpro.2005.02.002