Literature DB >> 20703658

An acoustical evaluation of knee sound for non-invasive screening and early detection of articular pathology.

Keo Sik Kim1, Jeong Hwan Seo, Chul Gyu Song.   

Abstract

Knee sound signals generated by knee movement are sometimes associated with degeneration of the knee joint surface and such sounds may be a useful index for early disease. In this study, we detected the acoustical parameters, such as the fundamental frequency (F0), mean amplitude of the pitches, and jitter and shimmer of knee sounds, and compared them according to the pathological conditions. Six normal subjects (4 males and 2 females, age: 28.3 ± 2.3 years) and 11 patients with knee problems were enrolled. The patients were divided into the 1st patient group (5 males and 1 female, age: 30.2 ± 10.3 years) with ruptured wounds of the meniscus and 2nd patient group (2 males and 3 females, age: 42.1 ± 16.2 years) with osteoarthritis. The mean values of F0, jitter and shimmer of the 2nd patient group were larger than those of the normal group, whereas those of the 1st patient group were smaller (p < 0.05). Also, the F0 and jitter in the standing position were larger than those in the sitting position in both the 1st and 2nd patient groups (p < 0.05). These results showed good potential for the non-invasive diagnosis and early detection of articular pathologies via an auscultation.

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Year:  2010        PMID: 20703658     DOI: 10.1007/s10916-010-9539-3

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  19 in total

1.  Vibration arthrometry in the patients with failed total knee replacement.

Authors:  C C Jiang; J H Lee; T T Yuan
Journal:  IEEE Trans Biomed Eng       Date:  2000-02       Impact factor: 4.538

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

Authors:  S Krishnan; R M Rangayyan; G D Bell; C B Frank
Journal:  IEEE Trans Biomed Eng       Date:  2000-06       Impact factor: 4.538

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Journal:  J UOEH       Date:  1988-03-01

4.  Modified local discriminant bases algorithm and its application in analysis of human knee joint vibration signals.

Authors:  Karthikeyan Umapathy; Sridhar Krishnan
Journal:  IEEE Trans Biomed Eng       Date:  2006-03       Impact factor: 4.538

5.  Screening of vibroarthrographic signals via adaptive segmentation and linear prediation modeling.

Authors:  Z M Moussavi; R M Rangayyan; G D Bell; C B Frank; K O Ladly; Y T Zhang
Journal:  IEEE Trans Biomed Eng       Date:  1996-01       Impact factor: 4.538

6.  Noninvasive measurement of acceleration at the knee joint in patients with rheumatoid arthritis and spondyloarthropathy of the knee.

Authors:  N P Reddy; B M Rothschild; E Verrall; A Joshi
Journal:  Ann Biomed Eng       Date:  2001-12       Impact factor: 3.934

7.  Vibration arthrometry in patients with knee joint disorders.

Authors:  J H Lee; C C Jiang; T T Yuan
Journal:  IEEE Trans Biomed Eng       Date:  2000-08       Impact factor: 4.538

8.  Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis.

Authors:  C G Peterfy; A Guermazi; S Zaim; P F J Tirman; Y Miaux; D White; M Kothari; Y Lu; K Fye; S Zhao; H K Genant
Journal:  Osteoarthritis Cartilage       Date:  2004-03       Impact factor: 6.576

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Authors:  S Tavathia; R M Rangayyan; C B Frank; G D Bell; K O Ladly; Y T Zhang
Journal:  IEEE Trans Biomed Eng       Date:  1992-09       Impact factor: 4.538

Review 10.  Ultrastructural MR imaging techniques of the knee articular cartilage: problems for routine clinical application.

Authors:  I Van Breuseghem
Journal:  Eur Radiol       Date:  2003-11-05       Impact factor: 5.315

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  2 in total

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Authors:  Susumu Ota; Akiko Ando; Yusuke Tozawa; Takuya Nakamura; Shogo Okamoto; Takenobu Sakai; Kazunori Hase
Journal:  J Phys Ther Sci       Date:  2016-10-28
  2 in total

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