Literature DB >> 19643653

Exploratory study of a non-invasive method based on acoustic emission for assessing the dynamic integrity of knee joints.

B Mascaro1, J Prior, L-K Shark, J Selfe, P Cole, J Goodacre.   

Abstract

The paper presents the development of a new measurement system based on acoustic emission (AE) for assessing the dynamic integrity of knee joints, and the evaluation of its efficacy, through an exploratory study using healthy and osteoarthritic knees. For the former, the paper describes the system implemented to acquire joint angle-based AE and the protocol developed to obtain repeatable results. For the latter, the paper reports significant differences between healthy and osteoarthritic knees using statistical analysis of AE occurrence and distribution of AE features in different movement phases. Osteoarthritic knees are found to produce 6-10 times more acoustic emissions than healthy knees, with amplitudes which can be 20 dB higher, and durations which can be 10 times longer. These findings lead to a visual representation method of AE feature profiles based on multidimensional density of AE hits per repeated movement and the use of principal component analysis for objective assessment of the clinical status of knee joints.

Mesh:

Year:  2009        PMID: 19643653     DOI: 10.1016/j.medengphy.2009.06.007

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  10 in total

1.  Knee joint vibroarthrography of asymptomatic subjects during loaded flexion-extension movements.

Authors:  Rasmus Elbæk Andersen; Lars Arendt-Nielsen; Pascal Madeleine
Journal:  Med Biol Eng Comput       Date:  2018-06-21       Impact factor: 2.602

2.  Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN-Part II: Patellofemoral Joint.

Authors:  Robert Karpiński; Przemysław Krakowski; Józef Jonak; Anna Machrowska; Marcin Maciejewski; Adam Nogalski
Journal:  Sensors (Basel)       Date:  2022-05-15       Impact factor: 3.847

3.  Discovering differences in acoustic emission between healthy and osteoarthritic knees using a four-phase model of sit-stand-sit movements.

Authors:  Lik-Kwan Shark; Hongzhi Chen; John Goodacre
Journal:  Open Med Inform J       Date:  2010-07-27

4.  Age-related impairment of quality of joint motion in vibroarthrographic signal analysis.

Authors:  Dawid Bączkowicz; Edyta Majorczyk; Krzysztof Kręcisz
Journal:  Biomed Res Int       Date:  2015-02-23       Impact factor: 3.411

5.  Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA).

Authors:  Daniela K Schlüter; Lucy Spain; Wei Quan; Harry Southworth; Nicola Platt; Joe Mercer; Lik-Kwan Shark; John C Waterton; Mike Bowes; Peter J Diggle; Mandy Dixon; Jane Huddleston; John Goodacre
Journal:  PLoS One       Date:  2019-10-16       Impact factor: 3.240

6.  Reliability of Vibroarthrography to Assess Knee Joint Sounds in Motion.

Authors:  Kristin Kalo; Daniel Niederer; Rainer Sus; Keywan Sohrabi; Volker Groß; Lutz Vogt
Journal:  Sensors (Basel)       Date:  2020-04-02       Impact factor: 3.576

7.  Detection of experimental cartilage damage with acoustic emissions technique: An in vitro equine study.

Authors:  B R Shakya; A Tiulpin; S Saarakkala; S Turunen; J Thevenot
Journal:  Equine Vet J       Date:  2019-06-06       Impact factor: 2.888

8.  Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings.

Authors:  Mika T Nevalainen; Olli Veikkola; Jerome Thevenot; Aleksei Tiulpin; Jukka Hirvasniemi; Jaakko Niinimäki; Simo S Saarakkala
Journal:  Sci Rep       Date:  2021-10-01       Impact factor: 4.379

9.  Joint motion quality in vibroacoustic signal analysis for patients with patellofemoral joint disorders.

Authors:  Dawid Bączkowicz; Edyta Majorczyk
Journal:  BMC Musculoskelet Disord       Date:  2014-12-12       Impact factor: 2.362

10.  Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN-Part I: Femoral-Tibial Joint.

Authors:  Robert Karpiński; Przemysław Krakowski; Józef Jonak; Anna Machrowska; Marcin Maciejewski; Adam Nogalski
Journal:  Sensors (Basel)       Date:  2022-03-10       Impact factor: 3.576

  10 in total

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