Acoustic Emissions as a Non-invasive Biomarker of the Structural Health of the Knee
The longitudinal assessment of joint health is a long-standing issue in the management of musculoskeletal injuries. The acoustic emissions (AEs) produced by joint articulation could serve as a biomarker for joint health assessment, but their use has been limited by a lack of mechanistic understandin...
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| Veröffentlicht in: | Annals of biomedical engineering 2020-01, Vol.48 (1), p.225-235 |
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| creator | Whittingslow, Daniel. C. Jeong, Hyeon-Ki Ganti, Venu G. Kirkpatrick, Nathan J. Kogler, Geza F. Inan, Omer T. |
| description | The longitudinal assessment of joint health is a long-standing issue in the management of musculoskeletal injuries. The acoustic emissions (AEs) produced by joint articulation could serve as a biomarker for joint health assessment, but their use has been limited by a lack of mechanistic understanding of their creation. In this paper, we investigate that mechanism using an injury model in human lower-limb cadavers, and relate AEs to joint kinematics. Using our custom joint sound recording system, we recorded the AEs from nine cadaver legs in four stages: at baseline, after a sham surgery, after a meniscus tear, and post-meniscectomy. We compare the resulting AEs using their
b
-values. We then compare joint anatomy/kinematics to the AEs using the X-ray reconstruction of moving morphology (XROMM) technique. After the meniscus tear the number and amplitude of the AE peaks greatly increased from baseline and sham (
b
-value = 1.33 ± 0.15;
p
|
| doi_str_mv | 10.1007/s10439-019-02333-x |
| format | Article |
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b
-values. We then compare joint anatomy/kinematics to the AEs using the X-ray reconstruction of moving morphology (XROMM) technique. After the meniscus tear the number and amplitude of the AE peaks greatly increased from baseline and sham (
b
-value = 1.33 ± 0.15;
p
< 0.05). The XROMM analysis showed a close correlation between the minimal inter-joint distances (0.251 ± 0.082 cm during extension, 0.265 ± .003 during flexion, at 145°) and a large increase in the AEs. This work provides key insight into the nature of joint AEs, and details a novel technique and analysis for recording and interpreting these biosignals.</description><identifier>ISSN: 0090-6964</identifier><identifier>EISSN: 1573-9686</identifier><identifier>DOI: 10.1007/s10439-019-02333-x</identifier><identifier>PMID: 31350620</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Acoustic emission ; Acoustics ; Aged ; Biochemistry ; Biological and Medical Physics ; Biomarkers ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biophysics ; Cadaver ; Cadavers ; Classical Mechanics ; Correlation analysis ; Health ; Humans ; Joints (anatomy) ; Kinematics ; Knee ; Knee Joint ; Lower Extremity ; Meniscus ; Middle Aged ; Morphology ; Sound recording ; Surgery</subject><ispartof>Annals of biomedical engineering, 2020-01, Vol.48 (1), p.225-235</ispartof><rights>Biomedical Engineering Society 2019</rights><rights>Annals of Biomedical Engineering is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c532t-94de883658a31ca76c35d870cef0fd729aacc95f97f92ea85d9e7ae20f46547d3</citedby><cites>FETCH-LOGICAL-c532t-94de883658a31ca76c35d870cef0fd729aacc95f97f92ea85d9e7ae20f46547d3</cites><orcidid>0000-0003-4399-7579</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10439-019-02333-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10439-019-02333-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31350620$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Whittingslow, Daniel. C.</creatorcontrib><creatorcontrib>Jeong, Hyeon-Ki</creatorcontrib><creatorcontrib>Ganti, Venu G.</creatorcontrib><creatorcontrib>Kirkpatrick, Nathan J.</creatorcontrib><creatorcontrib>Kogler, Geza F.</creatorcontrib><creatorcontrib>Inan, Omer T.</creatorcontrib><title>Acoustic Emissions as a Non-invasive Biomarker of the Structural Health of the Knee</title><title>Annals of biomedical engineering</title><addtitle>Ann Biomed Eng</addtitle><addtitle>Ann Biomed Eng</addtitle><description>The longitudinal assessment of joint health is a long-standing issue in the management of musculoskeletal injuries. The acoustic emissions (AEs) produced by joint articulation could serve as a biomarker for joint health assessment, but their use has been limited by a lack of mechanistic understanding of their creation. In this paper, we investigate that mechanism using an injury model in human lower-limb cadavers, and relate AEs to joint kinematics. Using our custom joint sound recording system, we recorded the AEs from nine cadaver legs in four stages: at baseline, after a sham surgery, after a meniscus tear, and post-meniscectomy. We compare the resulting AEs using their
b
-values. We then compare joint anatomy/kinematics to the AEs using the X-ray reconstruction of moving morphology (XROMM) technique. After the meniscus tear the number and amplitude of the AE peaks greatly increased from baseline and sham (
b
-value = 1.33 ± 0.15;
p
< 0.05). The XROMM analysis showed a close correlation between the minimal inter-joint distances (0.251 ± 0.082 cm during extension, 0.265 ± .003 during flexion, at 145°) and a large increase in the AEs. This work provides key insight into the nature of joint AEs, and details a novel technique and analysis for recording and interpreting these biosignals.</description><subject>Acoustic emission</subject><subject>Acoustics</subject><subject>Aged</subject><subject>Biochemistry</subject><subject>Biological and Medical Physics</subject><subject>Biomarkers</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Biophysics</subject><subject>Cadaver</subject><subject>Cadavers</subject><subject>Classical Mechanics</subject><subject>Correlation analysis</subject><subject>Health</subject><subject>Humans</subject><subject>Joints (anatomy)</subject><subject>Kinematics</subject><subject>Knee</subject><subject>Knee Joint</subject><subject>Lower Extremity</subject><subject>Meniscus</subject><subject>Middle Aged</subject><subject>Morphology</subject><subject>Sound recording</subject><subject>Surgery</subject><issn>0090-6964</issn><issn>1573-9686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UU1PFTEUbYgGnk__gAsyiRs3o21vP6YbEiQoRgILdN3Uzh1eYV6L7cwL_nuLDxBdmLTp4px7eu45hLxm9B2jVL8vjAowLWX1cgBob3fIgkkNrVGdekYWlBraKqPEHnlRyhWljHUgd8keMJBUcbogF4c-zWUKvjleh1JCiqVx9TRnKbYhblwJG2w-hLR2-Rpzk4ZmWmFzMeXZT3N2Y3OCbpxWD8CXiPiSPB_cWPDV_bsk3z4efz06aU_PP30-OjxtvQQ-tUb02HWgZOeAeaeVB9l3mnoc6NBrbpzz3sjB6MFwdJ3sDWqHnA5CSaF7WJKDre7N_H2Nvcc4VUP2Jodq9qdNLti_kRhW9jJtrDJAQcgq8PZeIKcfM5bJ1gw8jqOLWFOxnCupDRc10iV58w_1Ks051vXuWEIo4MxUFt-yfE6lZBwezTBq7zqz285s7cz-7sze1qH9p2s8jjyUVAmwJZQKxUvMf_7-j-wvcGSjBA</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Whittingslow, Daniel. 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C.</au><au>Jeong, Hyeon-Ki</au><au>Ganti, Venu G.</au><au>Kirkpatrick, Nathan J.</au><au>Kogler, Geza F.</au><au>Inan, Omer T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Acoustic Emissions as a Non-invasive Biomarker of the Structural Health of the Knee</atitle><jtitle>Annals of biomedical engineering</jtitle><stitle>Ann Biomed Eng</stitle><addtitle>Ann Biomed Eng</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>48</volume><issue>1</issue><spage>225</spage><epage>235</epage><pages>225-235</pages><issn>0090-6964</issn><eissn>1573-9686</eissn><abstract>The longitudinal assessment of joint health is a long-standing issue in the management of musculoskeletal injuries. The acoustic emissions (AEs) produced by joint articulation could serve as a biomarker for joint health assessment, but their use has been limited by a lack of mechanistic understanding of their creation. In this paper, we investigate that mechanism using an injury model in human lower-limb cadavers, and relate AEs to joint kinematics. Using our custom joint sound recording system, we recorded the AEs from nine cadaver legs in four stages: at baseline, after a sham surgery, after a meniscus tear, and post-meniscectomy. We compare the resulting AEs using their
b
-values. We then compare joint anatomy/kinematics to the AEs using the X-ray reconstruction of moving morphology (XROMM) technique. After the meniscus tear the number and amplitude of the AE peaks greatly increased from baseline and sham (
b
-value = 1.33 ± 0.15;
p
< 0.05). The XROMM analysis showed a close correlation between the minimal inter-joint distances (0.251 ± 0.082 cm during extension, 0.265 ± .003 during flexion, at 145°) and a large increase in the AEs. This work provides key insight into the nature of joint AEs, and details a novel technique and analysis for recording and interpreting these biosignals.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>31350620</pmid><doi>10.1007/s10439-019-02333-x</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-4399-7579</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Acoustic emission Acoustics Aged Biochemistry Biological and Medical Physics Biomarkers Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Cadaver Cadavers Classical Mechanics Correlation analysis Health Humans Joints (anatomy) Kinematics Knee Knee Joint Lower Extremity Meniscus Middle Aged Morphology Sound recording Surgery |
| title | Acoustic Emissions as a Non-invasive Biomarker of the Structural Health of the Knee |
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