Literature DB >> 3818762

Vibration arthrography as a diagnostic aid in diseases of the knee. A preliminary report.

G F McCoy, J D McCrea, D E Beverland, W G Kernohan, R A Mollan.   

Abstract

The detection and recording of vibration emission from human joints, a technique which we have termed "vibration arthrography", is a sensitive, non-invasive method for the objective study of the locomotor system. Using vibration sensors attached to bony prominences around the knee, we studied the joints of both normal and symptomatic subjects. Normal subjects produced three signal types--physiological patellofemoral crepitus, patellar clicks, and the lateral band signal. In symptomatic subjects we identified and categorised many signal types and related them to pathology. Lesions of the menisci produced distinctive signals, and it was possible not only to lateralise the tear, but in many cases to determine the type of meniscal injury present. Vibration arthrography promises to be a useful tool in the non-invasive diagnosis of knee disorders.

Entities:  

Mesh:

Year:  1987        PMID: 3818762

Source DB:  PubMed          Journal:  J Bone Joint Surg Br        ISSN: 0301-620X


  17 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.  Vibroarthrography for early detection of knee osteoarthritis using normalized frequency features.

Authors:  Nima Befrui; Jens Elsner; Achim Flesser; Jacqueline Huvanandana; Oussama Jarrousse; Tuan Nam Le; Marcus Müller; Walther H W Schulze; Stefan Taing; Simon Weidert
Journal:  Med Biol Eng Comput       Date:  2018-02-01       Impact factor: 2.602

3.  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

4.  What are the clinical implications of knee crepitus to individuals with knee osteoarthritis? An observational study with data from the Osteoarthritis Initiative.

Authors:  Marcella Ferraz Pazzinatto; Danilo de Oliveira Silva; Nathálie Clara Faria; Milena Simic; Paulo Henrique Ferreira; Fábio Mícolis de Azevedo; Evangelos Pappas
Journal:  Braz J Phys Ther       Date:  2018-11-16       Impact factor: 3.377

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

Authors:  Keo Sik Kim; Jeong Hwan Seo; Chul Gyu Song
Journal:  J Med Syst       Date:  2010-06-17       Impact factor: 4.460

6.  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

7.  Diagnosis of developmental dislocation of the hip by sonospectrography.

Authors:  M I Safa Kapicioglu; Feza Korkusuz
Journal:  Clin Orthop Relat Res       Date:  2008-02-15       Impact factor: 4.176

8.  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

9.  A Novel Accelerometer Mounting Method for Sensing Performance Improvement in Acoustic Measurements From the Knee.

Authors:  Goktug C Ozmen; Mohsen Safaei; Lan Lan; Omer T Inan
Journal:  J Vib Acoust       Date:  2020-10-13       Impact factor: 1.701

10.  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

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