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Real-Time Tracking of Knee Adduction Moment in Patients with Knee Osteoarthritis

Identifieur interne : 001057 ( Pmc/Checkpoint ); précédent : 001056; suivant : 001058

Real-Time Tracking of Knee Adduction Moment in Patients with Knee Osteoarthritis

Auteurs : Sang Hoon Kang [États-Unis] ; Song Joo Lee [États-Unis] ; Li-Qun Zhang [États-Unis]

Source :

RBID : PMC:4061264

Abstract

Background

The external knee adduction moment (EKAM) is closely associated with the presence, progression, and severity of knee osteoarthritis (OA). However, there is a lack of convenient and practical method to estimate and track in real-time the EKAM of patients with knee OA for clinical evaluation and gait training, especially outside of gait laboratories.

New Method

A real-time EKAM estimation method was developed and applied to track and investigate the EKAM and other knee moments during stepping on an elliptical trainer in both healthy subjects and a patient with knee OA.

Results

Substantial changes were observed in the EKAM and other knee moments during stepping in the patient with knee OA.

<italic>Comparison with Existing Method</italic>(<italic>s</italic>)

This is the first study to develop and test feasibility of real-time tracking method of the EKAM on patients with knee OA using 3-D inverse dynamics.

Conclusions

The study provides us an accurate and practical method to evaluate in real-time the critical EKAM associated with knee OA, which is expected to help us to diagnose and evaluate patients with knee OA and provide the patients with real-time EKAM feedback rehabilitation training.


Url:
DOI: 10.1016/j.jneumeth.2013.12.001
PubMed: 24361759
PubMed Central: 4061264


Affiliations:


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PMC:4061264

Le document en format XML

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<div type="abstract" xml:lang="en">
<sec id="S1">
<title>Background</title>
<p id="P2">The external knee adduction moment (EKAM) is closely associated with the presence, progression, and severity of knee osteoarthritis (OA). However, there is a lack of convenient and practical method to estimate and track in real-time the EKAM of patients with knee OA for clinical evaluation and gait training, especially outside of gait laboratories.</p>
</sec>
<sec id="S2">
<title>New Method</title>
<p id="P3">A real-time EKAM estimation method was developed and applied to track and investigate the EKAM and other knee moments during stepping on an elliptical trainer in both healthy subjects and a patient with knee OA.</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P4">Substantial changes were observed in the EKAM and other knee moments during stepping in the patient with knee OA.</p>
</sec>
<sec id="S4">
<title>
<italic>Comparison with Existing Method</italic>
(
<italic>s</italic>
)</title>
<p id="P5">This is the first study to develop and test feasibility of real-time tracking method of the EKAM on patients with knee OA using 3-D inverse dynamics.</p>
</sec>
<sec id="S5">
<title>Conclusions</title>
<p id="P6">The study provides us an accurate and practical method to evaluate in real-time the critical EKAM associated with knee OA, which is expected to help us to diagnose and evaluate patients with knee OA and provide the patients with real-time EKAM feedback rehabilitation training.</p>
</sec>
</div>
</front>
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<journal-id journal-id-type="nlm-journal-id">7905558</journal-id>
<journal-id journal-id-type="pubmed-jr-id">5306</journal-id>
<journal-id journal-id-type="nlm-ta">J Neurosci Methods</journal-id>
<journal-id journal-id-type="iso-abbrev">J. Neurosci. Methods</journal-id>
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<journal-title>Journal of neuroscience methods</journal-title>
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<issn pub-type="ppub">0165-0270</issn>
<issn pub-type="epub">1872-678X</issn>
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<article-id pub-id-type="pmid">24361759</article-id>
<article-id pub-id-type="pmc">4061264</article-id>
<article-id pub-id-type="doi">10.1016/j.jneumeth.2013.12.001</article-id>
<article-id pub-id-type="manuscript">NIHMS551183</article-id>
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<subject>Article</subject>
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<article-title>Real-Time Tracking of Knee Adduction Moment in Patients with Knee Osteoarthritis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Kang</surname>
<given-names>Sang Hoon</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A2">b</xref>
<xref ref-type="aff" rid="A3">c</xref>
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<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Song Joo</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A3">c</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Li-Qun</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A2">b</xref>
<xref ref-type="aff" rid="A3">c</xref>
<xref ref-type="aff" rid="A4">d</xref>
<xref ref-type="corresp" rid="CR1">*</xref>
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<aff id="A1">
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Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA</aff>
<aff id="A2">
<label>b</label>
Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611, USA</aff>
<aff id="A3">
<label>c</label>
Department of Biomedical Engineering, Northwestern University, Evanston, IL 60201, USA</aff>
<aff id="A4">
<label>d</label>
Department of Orthopaedic Surgery, Northwestern University, Chicago, IL 60611, USA</aff>
<author-notes>
<corresp id="CR1">
<label>*</label>
Corresponding author: Rehabilitation Institute of Chicago, Suite 1406 345 E. Superior Street, Chicago, IL 60611, USA Phone: (312) 238-4767 FAX: (312) 238-2208
<email>l-zhang@northwestern.edu</email>
</corresp>
<fn id="FN1">
<p id="P1">E-mail address of other authors:
<email>sanghoon.kang@northwestern.edu</email>
(S.H. Kang),
<email>Song-lee@northwestern.edu</email>
(S.J. Lee)</p>
</fn>
</author-notes>
<pub-date pub-type="nihms-submitted">
<day>3</day>
<month>2</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>19</day>
<month>12</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="ppub">
<day>15</day>
<month>7</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>15</day>
<month>7</month>
<year>2015</year>
</pub-date>
<volume>231</volume>
<fpage>9</fpage>
<lpage>17</lpage>
<pmc-comment>elocation-id from pubmed: 10.1016/j.jneumeth.2013.12.001</pmc-comment>
<permissions>
<copyright-statement>© 2013 Elsevier B.V. All rights reserved.</copyright-statement>
<copyright-year>2013</copyright-year>
</permissions>
<abstract>
<sec id="S1">
<title>Background</title>
<p id="P2">The external knee adduction moment (EKAM) is closely associated with the presence, progression, and severity of knee osteoarthritis (OA). However, there is a lack of convenient and practical method to estimate and track in real-time the EKAM of patients with knee OA for clinical evaluation and gait training, especially outside of gait laboratories.</p>
</sec>
<sec id="S2">
<title>New Method</title>
<p id="P3">A real-time EKAM estimation method was developed and applied to track and investigate the EKAM and other knee moments during stepping on an elliptical trainer in both healthy subjects and a patient with knee OA.</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P4">Substantial changes were observed in the EKAM and other knee moments during stepping in the patient with knee OA.</p>
</sec>
<sec id="S4">
<title>
<italic>Comparison with Existing Method</italic>
(
<italic>s</italic>
)</title>
<p id="P5">This is the first study to develop and test feasibility of real-time tracking method of the EKAM on patients with knee OA using 3-D inverse dynamics.</p>
</sec>
<sec id="S5">
<title>Conclusions</title>
<p id="P6">The study provides us an accurate and practical method to evaluate in real-time the critical EKAM associated with knee OA, which is expected to help us to diagnose and evaluate patients with knee OA and provide the patients with real-time EKAM feedback rehabilitation training.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Knee adduction moment</kwd>
<kwd>knee osteoarthritis (OA)</kwd>
<kwd>real-time estimation</kwd>
<kwd>biofeedback</kwd>
<kwd>diagnosis</kwd>
<kwd>outcome evaluation</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>États-Unis</li>
</country>
<region>
<li>Illinois</li>
</region>
</list>
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<region name="Illinois">
<name sortKey="Kang, Sang Hoon" sort="Kang, Sang Hoon" uniqKey="Kang S" first="Sang Hoon" last="Kang">Sang Hoon Kang</name>
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<name sortKey="Kang, Sang Hoon" sort="Kang, Sang Hoon" uniqKey="Kang S" first="Sang Hoon" last="Kang">Sang Hoon Kang</name>
<name sortKey="Kang, Sang Hoon" sort="Kang, Sang Hoon" uniqKey="Kang S" first="Sang Hoon" last="Kang">Sang Hoon Kang</name>
<name sortKey="Lee, Song Joo" sort="Lee, Song Joo" uniqKey="Lee S" first="Song Joo" last="Lee">Song Joo Lee</name>
<name sortKey="Lee, Song Joo" sort="Lee, Song Joo" uniqKey="Lee S" first="Song Joo" last="Lee">Song Joo Lee</name>
<name sortKey="Zhang, Li Qun" sort="Zhang, Li Qun" uniqKey="Zhang L" first="Li-Qun" last="Zhang">Li-Qun Zhang</name>
<name sortKey="Zhang, Li Qun" sort="Zhang, Li Qun" uniqKey="Zhang L" first="Li-Qun" last="Zhang">Li-Qun Zhang</name>
<name sortKey="Zhang, Li Qun" sort="Zhang, Li Qun" uniqKey="Zhang L" first="Li-Qun" last="Zhang">Li-Qun Zhang</name>
<name sortKey="Zhang, Li Qun" sort="Zhang, Li Qun" uniqKey="Zhang L" first="Li-Qun" last="Zhang">Li-Qun Zhang</name>
</country>
</tree>
</affiliations>
</record>

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