Literature DB >> 2002670

Vibration arthrometry in assessment of knee disorders: the problem of angular velocity.

W G Kernohan1, D A Barr, G F McCoy, R A Mollan.   

Abstract

A knee joint that has sustained a painful injury will typically require skillful examination, by an orthopaedic surgeon, for signs of internal damage. These signs include characteristic sounds and vibrations, which are produced by the knee when it is stressed. The technique of vibration arthrometry is being developed to assist the clinical examiner in identifying these vibrations and to improve diagnostic accuracy. To detect and record the knee vibrations, small lightweight accelerometers are positioned on various bony prominences around the knee. These produce electronic signals which permit objective analysis of the vibration characteristics. It has been found that varying the investigative procedure can affect the magnitude of some parameters of the vibration signal. If these parameters are to be used in evidence of knee pathology, the effect of the investigative procedure must be normalized. The effect of speed of joint movement has been quantified in a pilot study involving 24 patients with internal knee damage. Custom-designed hardware was used to measure joint speed as the rate of change of joint angle, which was measured by an electrogoniometer. It was found that the energy content of the vibration, reflected by the peak amplitude and root mean square value was strongly affected by joint speed. However, the characteristic shape of the vibration, reflected by the peak frequency in the harmonic spectrum of the signal, remained similar for the range of joint speed in the investigation.

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Year:  1991        PMID: 2002670     DOI: 10.1016/0141-5425(91)90041-5

Source DB:  PubMed          Journal:  J Biomed Eng        ISSN: 0141-5425


  8 in total

1.  Automatic de-noising of knee-joint vibration signals using adaptive time-frequency representations.

Authors:  S Krishnan; R M Rangayyan
Journal:  Med Biol Eng Comput       Date:  2000-01       Impact factor: 2.602

2.  Noninvasive acceleration measurements to characterize knee arthritis and chondromalacia.

Authors:  N P Reddy; B M Rothschild; M Mandal; V Gupta; S Suryanarayanan
Journal:  Ann Biomed Eng       Date:  1995 Jan-Feb       Impact factor: 3.934

3.  Adaptive filtering, modelling and classification of knee joint vibroarthrographic signals for non-invasive diagnosis of articular cartilage pathology.

Authors:  S Krishnan; R M Rangayyan; G D Bell; C B Frank; K O Ladly
Journal:  Med Biol Eng Comput       Date:  1997-11       Impact factor: 2.602

4.  Acute effects of a single bout of exercise therapy on knee acoustic emissions in patients with osteoarthritis: a double-blinded, randomized controlled crossover trial.

Authors:  Kristin Kalo; Daniel Niederer; Marco Schmitt; Lutz Vogt
Journal:  BMC Musculoskelet Disord       Date:  2022-07-11       Impact factor: 2.562

5.  Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions.

Authors:  Rangaraj M Rangayyan; Y F Wu
Journal:  Med Biol Eng Comput       Date:  2007-10-25       Impact factor: 2.602

Review 6.  Engineering Aspects of Incidence, Prevalence, and Management of Osteoarthritis: A Review.

Authors:  Dhirendra Kumar Verma; Poonam Kumari; Subramani Kanagaraj
Journal:  Ann Biomed Eng       Date:  2022-01-21       Impact factor: 3.934

7.  Knee joint vibration signal analysis with matching pursuit decomposition and dynamic weighted classifier fusion.

Authors:  Suxian Cai; Shanshan Yang; Fang Zheng; Meng Lu; Yunfeng Wu; Sridhar Krishnan
Journal:  Comput Math Methods Med       Date:  2013-03-12       Impact factor: 2.238

8.  Preliminary study of optimal measurement location on vibroarthrography for classification of patients with knee osteoarthritis.

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

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