Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology

IEEE Transactions on Biomedical Engineering

Volumn 47, Issue 6, 2000, Pages 773-783

  Krishnan, Sridhar ^a   Rangayyan, Rangaraj M ^a,b   Bell, G Douglas ^b   Frank, Cyril B ^b  

^a RYERSON UNIVERSITY   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Cartilage pathology; Joint sounds; Matching pursuit; Time frequency analysis; Vibroarthrography

Indexed keywords

ALGORITHM; ARTHROPATHY; ARTICLE; ARTICULAR CARTILAGE; CHONDROPATHY; CLASSIFICATION; COMPARATIVE STUDY; DIAGNOSTIC PROCEDURE; ENTROPY; HUMAN; KNEE; MOVEMENT (PHYSIOLOGY); PATHOPHYSIOLOGY; REFERENCE VALUE; SIGNAL PROCESSING; STATISTICS; TIME; VIBRATION;

ALGORITHMS; CARTILAGE DISEASES; CARTILAGE, ARTICULAR; DIAGNOSTIC TECHNIQUES AND PROCEDURES; ENTROPY; HUMANS; JOINT DISEASES; KNEE JOINT; MOVEMENT; REFERENCE VALUES; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS; VIBRATION;

ADAPTIVE TIME FREQUENCY ANALYSIS; ARTICULAR CARTILAGE PATHOLOGY; CHONDROMALACIA PATELLA; KNEE JOINT VIBROARTHROGRAPHIC SIGNALS; NONINVASIVE SCREENING; PATELLOFEMORAL DISORDERS;

ALGORITHMS; CARTILAGE; FEATURE EXTRACTION; FOURIER TRANSFORMS; JOINTS (ANATOMY); REGRESSION ANALYSIS; SIGNAL PROCESSING;

NONINVASIVE MEDICAL PROCEDURES;

EID: 0033625603     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.844228     Document Type: Article

References (34)

1. W. E. Blodgett, Auscultation of the knee joint, Boston Med. Surg. J., vol. 146, no. 3, pp. 63-66, 1902.
2. K. H. Erb, Über die moeglichkeit der registrierung von gelenkgeraeuschen, Deutsche Z. Chir., vol. 241, pp. 237-245, 1933.
3. M. L. Chu, I. A. Gradisar, and R. Mostardi, A noninvasive electroacoustical evalution technique of cartilage damage in pathological knee joints, Med. Biol. Eng. CompuL, vol. 16, pp. 437-42, 1978.
4. J. Inoue, Y. Nagata, and K. Suzuki, Measurement of knee joint sounds by microphone, Sangyo Ika Daigaku Zasshi, vol. 8, no. 3, pp. 307-316, 1986.
5. G. F. McCoy, J. D. McCrea, D. E. Beverland, 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-B, no. 2, pp. 288-293, 1987.
6. Y. Nagata, Joint-sounds in gonoarthrosis-Clinical application of phonoarthrography for the knees,J. UOEH,vol. 10,no. 1,pp.47-58, 1988.
7. 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, Sept. 1992.
8. N. P. Reddy, B. M. Rothschild, M. Mandai, V. Gupta, and S. Suryanarayanan, Noninvasive acceleration measurements to characterize knee arthritis and chondromalacia, Ann. Biomed. Eng., vol. 23, pp. 78-84, 1995.
9. Y T. Zhang, R. M. Rangayyan, C. B. Frank, and G. D. Bell, Adaptive cancellation of muscle contraction interference from knee joint vibration signals, IEEE Trans. Biomed. Eng., vol. 41, pp. 181-191, Feb. 1994.
10. 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 vibroarthrography, Med. Eng. Phys., vol. 17, no. 8, pp. 583-594, 1995.
11. Z. M. K. Moussavi, R. M. Rangayyan, G. D. Bell, C. B. Frank, K. O. Ladly, and Y T. Zhang, Screening of vibroarthrographic signals via adaptive segmentation and linear prediction modeling, IEEE Trans. Biomed. Eng., vol. 43, pp. 15-23, Jan. 1996.
12. S. Krishnan, R. M. Rangayyan, G. D. Bell, C. B. Frank, and K. O. Ladly, Adaptive filtering, modeling, and classification of knee joint vibroarthrographic signals for noninvasive diagnosis of articular cartilage pathology, Med. Biol. Eng. Comput., vol. 35, pp. 677-684, Nov. 1997.
13. R. M. Rangayyan, S. 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, Nov. 1997.
14. K. O. Ladly, Analysis of Patellofemoral Joint Vibration Signals, masters thesis, Univ. Calgary, Calgary, AB, Canada, 1992.
15. L. Cohen, Time-frequency distributions-A review, Proc. IEEE, vol. 77, pp. 941-981, 1989.
16. S. Krishnan, Adaptive signal processing techniques for analysis of knee joint vibroarthrographic signals, Ph.D. dissertation, Univ, Calgary, Calgary, AB, Canada, June 1999.
17. H. I. Choi and W. J. Williams, Improved time-frequency representation of multicomponent signals using exponential kernels, IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. 862-871, June 1989.
18. J. Jeong and W. J. Williams, Kernel design for reduced interference distributions, IEEE Trans. Signal Processing, vol. 40, pp. 402-112, Feb. 1992.
19. Z. Guo, L. G. Durand, and H. C. Lee, The time-frequency distributions of nonstationary signals based on a Bessel kernel, IEEE Trans. Signal Processing, vol. 42, pp. 1700-1707, July 1994.
20. R. G. Baraniuk and D. L. Jones, Signal-dependent time-frequency representation: Optimal kernel design, IEEE Trans. Signal Processing, vol. 41, pp. 1589-1602, Apr. 1993.
21. S. G. Mallat and Z. Zhang, Matching pursuit with time-frequency dictionaries, IEEE Trans. Signal Processing, vol. 41, pp. 3397-3415, Dec. 1993.
22. L. Cohen and T. Posch, Positive time-frequency distribution functions, IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-33, pp. 31-38, Feb. 1985.
23. J. Shore and R. Johnson, Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross entropy, IEEE Trans. Inform. Theory, vol. IT-26, pp. 26-37, Jan. 1980.
24. _, Properties of cross-entropy minimization, IEEE Trans. Inform. Theory, vol. IT-27, pp. 472-182, Apr. 1981.
25. P. Loughlin, J. Pitton, and L. Atlas, Construction of positive timefrequency distributions, IEEE Trans. Signal Processing, vol. 42, pp. 2697-2705, Oct. 1994.
26. S. Krishnan, R. M. Rangayyan, G. D. Bell, C. B. Frank, and K. O. Ladly, Time-frequency signal feature extraction and screening of knee joint vibroarthrographic signals using the matching pursuit method, in P roc. 19th Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society, Chicago, IL, Oct. 1997. Available: [CD-ROM]. Paper 664 .
27. S. Krishnan and R. M. Rangayyan, Denoising knee joint vibroarthrographic signals using adaptive time-frequency representations, in Proc. Canadian Conf. Electrical and Computer Engineering, Edmonton, AB, Canada, May 1999, pp. 1405-1411.
28. _ Automatic denoising of knee joint vibration signals using adaptive time-frequency representations, Med. Biol. Eng. Comput., vol. 38, pp. 2-8, Jan. 1999.
29. B. Boashash, Estimating and interpreting the instantaneous frequency of a signal-Part 1: Fundamentals, Proc. IEEE, vol. 80, pp. 519-538, Apr. 1992.
30. A. P. Afifi and S. P. Azen, Statistical Analysis: A Computer Oriented Approach, 2nd ed. New York: Academic., 1979.
31. S. Krishnan and R. M. Rangayyan, Detection of chirp and other components in the time-frequency plane using the Hough and Radon transforms, in Proc. 1997 IEEE Pacific RimConf. Communications, Computers, and Signal Processing, Victoria, BC, Canada, Aug. 1997, pp. 138-141.
32. _, Detection of nonlinear frequency modulated components in the time-frequency plane by using an array of accumulators, in Proc. 1EEE-SP Int. Symp. Time-Frequency and Time-Scale Analysis, Pittsburgh, PA, Oct. 1998, pp. 557-560.
33. _, Feature identification in the time-frequency distributions of knee joint vibroarthrographic signals using Hough and Radon transforms, in Proc. Int. Conf. Robotics, Vision, and Parallel Processing, Tronoh, Malaysia, July 1999, pp. 82-89.
34. _, Knee joint vibration signal analysis using adaptive time-frequency representations, in Proc. Eur. Medical and Biological Engineering Conf., Vienna, Austria, Nov. 1999, pp. 466-167.