Browse > Article

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

Kim, Keo-Sik (전북대학교 대학원 전자정보공학부)
Song, Chul-Gyu (전북대학교 전자정보공학부)
Seo, Jeong-Hwan (전북대학교 재활의학과)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.4, 2008 , pp. 729-734 More about this Journal
Abstract
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.
Keywords
VAG; Back-propagation neural network; Singular value decomposition; Time-frequency distribution;
Citations & Related Records

Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 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   DOI   ScienceOn
2 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   DOI   ScienceOn
3 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   DOI   ScienceOn
4 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   DOI
5 B. Boashash, "Introduction to the concepts of time-frequency signal analysis and processing, Part I, Elsvier, Oxford, 2003
6 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   DOI   ScienceOn
7 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   DOI   ScienceOn
8 D. J. Fluhme, P. Z. Cohen, "Knee arthroscopy in the older patient", Operative Tech. Othopaedics, vol. 12, pp. 119-123, 2002   DOI   ScienceOn
9 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   DOI   ScienceOn
10 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   DOI   ScienceOn
11 H. Hassanpour, "Improved SVD-based technique for enhancing time-frequency representation of signals", IEEE Int. Sympos. Circ. Syst., New Orleans, pp. 1819-1822, 2007
12 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
13 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   DOI   ScienceOn
14 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   DOI   ScienceOn
15 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   DOI   ScienceOn
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   DOI   ScienceOn
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   DOI   ScienceOn
18 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   DOI   ScienceOn
19 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
20 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   DOI   ScienceOn
21 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   DOI   ScienceOn
22 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
23 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   DOI   ScienceOn