Analysis of high frequency acoustic emission signals as a new approach for assessing knee osteoarthritis

Prior, J; Mascaro, Benoît; Shark, Lik‐Kwan; Stockdale, Jennifer; Selfe, James; Bury, R.F.; Cole, P. T.; Goodacre, John

doi:10.1136/ard.2009.112599

Cited by 22 publications

(26 citation statements)

References 2 publications

(2 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Repeated sit-stand-sit movements to create joint stress are used as the movement protocol for acquisition of joint angle based AE [8, 9, 14]. Each sit-stand-sit movement consists of ascending from a standard height chair, with arms folded across the chest (in order to remove the influence of the movement strategy), reaching a fully erect standing position and then descending to return to a seated position.…”

Section: Acqusition Of Joint Angle Based Aementioning

confidence: 99%

“…Although dynamic MRI could be used for this purpose [7], it presents obstacles in terms of accessibility, costs and portability, for use in clinic and home settings. This has led to the work being carried out by the authors to investigate the potential of acoustic emission (AE) for assessing the dynamic integrity of joints [8, 9]. …”

Section: Introductionmentioning

confidence: 99%

“…Through a pilot study of two groups with one consisting of young healthy knees and the other one consisting of old OA knees, a significant difference in AE was found to exist between these two groups representing two ends of the joint condition scale. In particular, the number and strength of AE events were found to be considerable higher in the old OA group compared to the young healthy group, especially in the ascending phase of the sit-to-stand movement [8, 9]. In this paper, the authors report further work in AE signal analysis based on a four-phase model of the sit-stand-sit movement and a two-feature descriptor of AE signals to discover the differences in AE between healthy and OA knee joints in the same age group.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Discovering Differences in Acoustic Emission Between Healthy and Osteoarthritic Knees Using a Four-Phase Model of Sit-Stand-Sit Movements

Shark¹

2010

TOMINFOJ

View full text Add to dashboard Cite

By performing repeated sit-stand-sit movements to create stress on knee joints, short transient bursts of high frequency acoustic emission (AE) released by the knee joints were acquired from two age matched groups consisting of healthy and osteoarthritic (OA) knees, and significant differences between these two groups were discovered from the signal analysis performed. The analysis is based on a four-phase model of sit-stand-sit movements and a two-feature descriptor of AE bursts. The four phases are derived from joint angle measurement during movement, and they consist of the ascending-acceleration and ascending-deceleration phases in the sit-to-stand movement, followed by the descendingacceleration and descending-deceleration phases in the stand-to-sit movement. The two features are extracted from AE measurement during movement, and they consist of the peak magnitude value and average signal level of each AE burst. The proposed analysis method is shown to provide a high sensitivity for differentiation of the two age matched healthy and OA groups, with the most significant difference found to come from the peak magnitude value in the ascendingdeceleration phase, clear quantity and strength differences in the image based visual display of their AE feature profiles due to substantially more AE bursts from OA knee joints with higher peak magnitude values and higher average signal levels, and two well separated clusters in the space formed by the principal components. These results provide ample support for further development of AE as a novel tool to facilitate dynamic integrity assessment of knee joints in clinic and home settings.

show abstract

Section: Acqusition Of Joint Angle Based Aementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Discovering Differences in Acoustic Emission Between Healthy and Osteoarthritic Knees Using a Four-Phase Model of Sit-Stand-Sit Movements

Shark¹

2010

TOMINFOJ

View full text Add to dashboard Cite

show abstract

“…Nowadays, however, the term can include summary descriptors of an intrinsically high-dimensional object, such as a digital image, a time series or a chemical spectrum, termed 'biosignals'. Our work to explore acoustic emission (AE) as a biomarker for knee OA [16][17][18][19] illustrates some of the challenges which are being raised by the ever-broadening scope of technologies being explored as potential biosignals.…”

Section: Developing New Biomarkers: General Principles and Approachesmentioning

confidence: 99%

“…In this context, the development of techniques to measure highfrequency AE in knee joints [16][17][18][19] offers the potential to develop a biomarker reflecting the integrity of interactions between knee joint components during weightbearing movement. Since OA affects joint function, markers which assess or reflect the integrity of interactions between joint structures during knee movement offer a strong rationale for biomarker development.…”

Section: Acoustic Emissionmentioning

confidence: 99%

Biomarkers for knee osteoarthritis: new technologies, new paradigms

Spain

Rajoub²,

Schlüter

et al. 2015

International Journal of Clinical Rheumatology

View full text Add to dashboard Cite

Usage of any items from the University of Cumbria's institutional repository 'Insight' must conform to the following fair usage guidelines.Any item and its associated metadata held in the University of Cumbria's institutional repository Insight (unless stated otherwise on the metadata record) may be copied, displayed or performed, and stored in line with the JISC fair dealing guidelines (available here) for educational and notforprofit activities provided that• the authors, title and full bibliographic details of the item are cited clearly when any part of the work is referred to verbally or in the written form• a hyperlink/URL to the original Insight record of that item is included in any citations of the work • the content is not changed in any way• all files required for usage of the item are kept together with the main item file. You may not• sell any part of an item• refer to any part of an item without citation • amend any item or contextualise it in a way that will impugn the creator's reputation• remove or alter the copyright statement on an item.The full policy can be found here. Alternatively contact the University of Cumbria Repository Editor by emailing insight@cumbria.ac.uk.

show abstract

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

Verma

Kumari²,

Kanagaraj³

2022

Ann Biomed Eng

View full text Add to dashboard Cite

Analysis of high frequency acoustic emission signals as a new approach for assessing knee osteoarthritis

Abstract: Analysis of high frequency acoustic emission signals as a new approach for assessing knee osteoarthritis of acoustic assessment, 3 4 show that this relatively unexplored approach has potential for extending the range of available tools for knee arthritis assessment and monitoring.

Cited by 22 publications

References 2 publications

Discovering Differences in Acoustic Emission Between Healthy and Osteoarthritic Knees Using a Four-Phase Model of Sit-Stand-Sit Movements

Discovering Differences in Acoustic Emission Between Healthy and Osteoarthritic Knees Using a Four-Phase Model of Sit-Stand-Sit Movements

Biomarkers for knee osteoarthritis: new technologies, new paradigms

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

Contact Info

Product

Resources

About