Analysis of Vibroarthrographic Signals for Knee Osteoarthritis Diagnosis

Osteoarthritis (OA) is the most common joint disease, except for the X-ray diagnosis of knee lesions, not more invasive detection methods. Clinical examination of the physician for long-term degenerative arthritis patients, found the knee often with crepitus sound in range of motion, but this is a subjective feeling, can't be recorded and a comparative analysis. in this study, knee sound signal is obtained by an innovative stethoscope device with goniometer. the sound signal is input to personal computer and segmented according to goniometer data. Fourier transform of signal is done. Power spectrum is obtained and partition index calculated. Distribution parameters are obtained and optimum classification threshold then decided. Assess the VGA signal and compare knee OA with the X-ray image, and the VAG characteristics signal function using with mean, variance, skew ness and kurtosis statistics function analysis accuracy. Our total accuracy up to 82.69% showed good sensitivity and specificity rate. Vibroarthrographic signals of knee provide an economic alternative to x-ray examination for osteoarthritis patients.

[1]  R.M. Rangayyan,et al.  Analysis of knee vibration signals using linear prediction , 1992, IEEE Transactions on Biomedical Engineering.

[2]  D. Mccarty.  Comparison of polymyalgia rheumatica and remitting seronegative symmetrical synovitis with pitting edema syndrome: comment on the article by Salvarani et al. , 1996, Arthritis and rheumatism.

[3]  K. Schellhas,et al.  Temporomandibular joint: MR imaging of internal derangements and postoperative changes. , 1987, AJR. American journal of roentgenology.

[4]  R. Mollan,et al.  The diagnostic potential of vibration arthrography. , 1986, Clinical orthopaedics and related research.

[5]  Rangaraj M. Rangayyan,et al.  Analysis of knee joint sound signals , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  H. Genant,et al.  Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis. , 2004, Osteoarthritis and cartilage.

[7]  Karthikeyan Umapathy,et al.  Modified local discriminant bases algorithm and its application in analysis of human knee joint vibration signals , 2006, IEEE Transactions on Biomedical Engineering.

[8]  R M Rangayyan,et al.  Localization of knee joint cartilage pathology by multichannel vibroarthrography. , 1995, Medical engineering & physics.

[9]  D. Felson,et al.  An update on the epidemiology of knee and hip osteoarthritis with a view to prevention. , 1998, Arthritis and rheumatism.

[10]  M. Gurcan,et al.  An automated method to segment the femur for osteoarthritis research , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  I Van Breuseghem.  Ultrastructural MR imaging techniques of the knee articular cartilage: problems for routine clinical application. , 2004, European radiology.

[12]  Ivan Gradisar,et al.  A noninvasive electroacoustical evaluation technique of cartilage damage in pathological knee joints , 1978, Medical and Biological Engineering and Computing.

[13]  R. M. Rangayyan,et al.  Adaptive filtering, modelling and classification of knee joint vibroarthrographic signals for non-invasive diagnosis of articular cartilage pathology , 1997, Medical and Biological Engineering and Computing.

[14]  R. Mollan,et al.  Vibration arthrography as a diagnostic aid in diseases of the knee. A preliminary report. , 1987, The Journal of bone and joint surgery. British volume.

[15]  Lior Shamir,et al.  Knee X-Ray Image Analysis Method for Automated Detection of Osteoarthritis , 2009, IEEE Transactions on Biomedical Engineering.

[16]  R.M. Rangayyan,et al.  Parametric representation and screening of knee joint vibroarthrographic signals , 1997, IEEE Transactions on Biomedical Engineering.

[17]  R.M. Rangayyan,et al.  Analysis of knee joint sound signals for non-invasive diagnosis of cartilage pathology , 1990, IEEE Engineering in Medicine and Biology Magazine.

[18]  Rangaraj M. Rangayyan,et al.  Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology , 2000, IEEE Transactions on Biomedical Engineering.

[19]  Ju-Hong Lee,et al.  Vibration arthrometry in the patients with failed total knee replacement , 2000, IEEE Trans. Biomed. Eng..

[20]  Ju-Hong Lee,et al.  Vibration arthrometry in patients with knee joint disorders , 2000, IEEE Trans. Biomed. Eng..

[21]  Zahra M. K. Maussavi,et al.  Screening of vibroarthrographic signals via adaptive segmentation and linear prediction modeling , 1996, IEEE Transactions on Biomedical Engineering.

[22]  N. P. Reddy,et al.  Noninvasive Measurement of Acceleration at the Knee Joint in Patients with Rheumatoid Arthritis and Spondyloarthropathy of the Knee , 2001, Annals of Biomedical Engineering.

[23]  C. Asche,et al.  The economic cost and social and psychological impact of musculoskeletal conditions: comment on the article by Yelin et al. , 1996, Arthritis and rheumatism.

[24]  Y Nagata.  Joint-sounds in gonoarthrosis--clinical application of phonoarthrography for the knees. , 1988, Journal of UOEH.

[25]  M L Chu,et al.  Detection of knee joint diseases using acoustical pattern recognition technique. , 1976, Journal of biomechanics.