A Practical Strategy for sEMG-Based Knee Joint Moment Estimation During Gait and Its Validation in Individuals With Cerebral Palsy
Identifieur interne : 001F30 ( Ncbi/Merge ); précédent : 001F29; suivant : 001F31A Practical Strategy for sEMG-Based Knee Joint Moment Estimation During Gait and Its Validation in Individuals With Cerebral Palsy
Auteurs : Suncheol Kwon ; Hyung-Soon Park ; Christopher J. Stanley ; Jung Kim ; Jonghyun Kim ; Diane L. DamianoSource :
- IEEE transactions on bio-medical engineering [ 0018-9294 ] ; 2012.
Abstract
Individuals with cerebral palsy have neurological deficits that may interfere with motor function and lead to abnormal walking patterns. It is important to know the joint moment generated by the patient’s muscles during walking in order to assist the suboptimal gait patterns. In this paper, we describe a practical strategy for estimating the internal moment of a knee joint from surface electromyography (sEMG) and knee joint angle measurements. This strategy requires only isokinetic knee flexion and extension tests to obtain a relationship between the sEMG and the knee internal moment, and it does not necessitate comprehensive laboratory calibration, which typically requires a 3-D motion capture system and ground reaction force plates. Four estimation models were considered based on different assumptions about the functions of the relevant muscles during the isokinetic tests and the stance phase of walking. The performance of the four models was evaluated by comparing the estimated moments with the gold standard internal moment calculated from inverse dynamics. The results indicate that an optimal estimation model can be chosen based on the degree of cocontraction. The estimation error of the chosen model is acceptable (normalized root-mean-squared error: 0.15–0.29,
Url:
DOI: 10.1109/TBME.2012.2187651
PubMed: 22410952
PubMed Central: 3594799
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<author><name sortKey="Kwon, Suncheol" sort="Kwon, Suncheol" uniqKey="Kwon S" first="Suncheol" last="Kwon">Suncheol Kwon</name>
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<author><name sortKey="Park, Hyung Soon" sort="Park, Hyung Soon" uniqKey="Park H" first="Hyung-Soon" last="Park">Hyung-Soon Park</name>
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<author><name sortKey="Stanley, Christopher J" sort="Stanley, Christopher J" uniqKey="Stanley C" first="Christopher J." last="Stanley">Christopher J. Stanley</name>
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<author><name sortKey="Kim, Jung" sort="Kim, Jung" uniqKey="Kim J" first="Jung" last="Kim">Jung Kim</name>
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<author><name sortKey="Kim, Jonghyun" sort="Kim, Jonghyun" uniqKey="Kim J" first="Jonghyun" last="Kim">Jonghyun Kim</name>
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<author><name sortKey="Damiano, Diane L" sort="Damiano, Diane L" uniqKey="Damiano D" first="Diane L." last="Damiano">Diane L. Damiano</name>
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<front><div type="abstract" xml:lang="en"><p id="P1">Individuals with cerebral palsy have neurological deficits that may interfere with motor function and lead to abnormal walking patterns. It is important to know the joint moment generated by the patient’s muscles during walking in order to assist the suboptimal gait patterns. In this paper, we describe a practical strategy for estimating the internal moment of a knee joint from surface electromyography (sEMG) and knee joint angle measurements. This strategy requires only isokinetic knee flexion and extension tests to obtain a relationship between the sEMG and the knee internal moment, and it does not necessitate comprehensive laboratory calibration, which typically requires a 3-D motion capture system and ground reaction force plates. Four estimation models were considered based on different assumptions about the functions of the relevant muscles during the isokinetic tests and the stance phase of walking. The performance of the four models was evaluated by comparing the estimated moments with the gold standard internal moment calculated from inverse dynamics. The results indicate that an optimal estimation model can be chosen based on the degree of cocontraction. The estimation error of the chosen model is acceptable (normalized root-mean-squared error: 0.15–0.29, <italic>R</italic>
: 0.71–0.93) compared to previous studies (Doorenbosch and Harlaar, 2003; Doorenbosch and Harlaar, 2004; Doorenbosch, Joosten, and Harlaar, 2005), and this strategy provides a simple and effective solution for estimating knee joint moment from sEMG.</p>
</div>
</front>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">0012737</journal-id>
<journal-id journal-id-type="pubmed-jr-id">4157</journal-id>
<journal-id journal-id-type="nlm-ta">IEEE Trans Biomed Eng</journal-id>
<journal-id journal-id-type="iso-abbrev">IEEE Trans Biomed Eng</journal-id>
<journal-title-group><journal-title>IEEE transactions on bio-medical engineering</journal-title>
</journal-title-group>
<issn pub-type="ppub">0018-9294</issn>
<issn pub-type="epub">1558-2531</issn>
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<article-meta><article-id pub-id-type="pmid">22410952</article-id>
<article-id pub-id-type="pmc">3594799</article-id>
<article-id pub-id-type="doi">10.1109/TBME.2012.2187651</article-id>
<article-id pub-id-type="manuscript">NIHMS442701</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>A Practical Strategy for sEMG-Based Knee Joint Moment Estimation During Gait and Its Validation in Individuals With Cerebral Palsy</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Kwon</surname>
<given-names>Suncheol</given-names>
</name>
<role>Student Member, IEEE</role>
<aff id="A1">Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea</aff>
<email>sun.kwon@kaist.ac.kr</email>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Park</surname>
<given-names>Hyung-Soon</given-names>
</name>
<role>Member, IEEE</role>
<aff id="A2">Functional and Applied Biomechanics Section, Rehabilitation Medicine Department/Clinical Center, National Institutes of Health, Bethesda, MD 20892 USA</aff>
<email>parkhs@cc.nih.gov</email>
</contrib>
<contrib contrib-type="author"><name><surname>Stanley</surname>
<given-names>Christopher J.</given-names>
</name>
<aff id="A3">Functional and Applied Biomechanics Section, Rehabilitation Medicine Department/Clinical Center, National Institutes of Health, Bethesda, MD 20892 USA</aff>
<email>stanleycj@cc.nih.gov</email>
</contrib>
<contrib contrib-type="author"><name><surname>Kim</surname>
<given-names>Jung</given-names>
</name>
<role>Member, IEEE</role>
<aff id="A4">Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea</aff>
<email>jungkim@kaist.ac.kr</email>
</contrib>
<contrib contrib-type="author"><name><surname>Kim</surname>
<given-names>Jonghyun</given-names>
</name>
<role>Student Member, IEEE</role>
<aff id="A5">Functional and Applied Biomechanics Section, Rehabilitation Medicine Department/Clinical Center, National Institutes of Health, Bethesda, MD 20892 USA</aff>
<email>kimj13@cc.nih.gov</email>
</contrib>
<contrib contrib-type="author"><name><surname>Damiano</surname>
<given-names>Diane L.</given-names>
</name>
<aff id="A6">Functional and Applied Biomechanics Section, Rehabilitation Medicine Department/Clinical Center, National Institutes of Health, Bethesda, MD 20892 USA</aff>
<email>damianod@cc.nih.gov</email>
</contrib>
</contrib-group>
<author-notes><fn id="FN1" fn-type="equal"><p>S. Kwon and H.-S. Park equally contributed to the work.</p>
</fn>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>11</day>
<month>2</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub"><day>09</day>
<month>3</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="ppub"><month>5</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>12</day>
<month>3</month>
<year>2013</year>
</pub-date>
<volume>59</volume>
<issue>5</issue>
<fpage>1480</fpage>
<lpage>1487</lpage>
<permissions><copyright-statement>© 2012 IEEE</copyright-statement>
<copyright-year>2012</copyright-year>
</permissions>
<abstract><p id="P1">Individuals with cerebral palsy have neurological deficits that may interfere with motor function and lead to abnormal walking patterns. It is important to know the joint moment generated by the patient’s muscles during walking in order to assist the suboptimal gait patterns. In this paper, we describe a practical strategy for estimating the internal moment of a knee joint from surface electromyography (sEMG) and knee joint angle measurements. This strategy requires only isokinetic knee flexion and extension tests to obtain a relationship between the sEMG and the knee internal moment, and it does not necessitate comprehensive laboratory calibration, which typically requires a 3-D motion capture system and ground reaction force plates. Four estimation models were considered based on different assumptions about the functions of the relevant muscles during the isokinetic tests and the stance phase of walking. The performance of the four models was evaluated by comparing the estimated moments with the gold standard internal moment calculated from inverse dynamics. The results indicate that an optimal estimation model can be chosen based on the degree of cocontraction. The estimation error of the chosen model is acceptable (normalized root-mean-squared error: 0.15–0.29, <italic>R</italic>
: 0.71–0.93) compared to previous studies (Doorenbosch and Harlaar, 2003; Doorenbosch and Harlaar, 2004; Doorenbosch, Joosten, and Harlaar, 2005), and this strategy provides a simple and effective solution for estimating knee joint moment from sEMG.</p>
</abstract>
<kwd-group><title>Index Terms</title>
<kwd>Cerebral palsy (CP)</kwd>
<kwd>estimation of knee internal moment</kwd>
<kwd>muscular cocontraction</kwd>
<kwd>sEMG-moment relationship</kwd>
</kwd-group>
<funding-group><award-group><funding-source country="United States">Clinical Center : CLC</funding-source>
<award-id>Z99 CL999999 || CL</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
</pmc>
<affiliations><list></list>
<tree><noCountry><name sortKey="Damiano, Diane L" sort="Damiano, Diane L" uniqKey="Damiano D" first="Diane L." last="Damiano">Diane L. Damiano</name>
<name sortKey="Kim, Jonghyun" sort="Kim, Jonghyun" uniqKey="Kim J" first="Jonghyun" last="Kim">Jonghyun Kim</name>
<name sortKey="Kim, Jung" sort="Kim, Jung" uniqKey="Kim J" first="Jung" last="Kim">Jung Kim</name>
<name sortKey="Kwon, Suncheol" sort="Kwon, Suncheol" uniqKey="Kwon S" first="Suncheol" last="Kwon">Suncheol Kwon</name>
<name sortKey="Park, Hyung Soon" sort="Park, Hyung Soon" uniqKey="Park H" first="Hyung-Soon" last="Park">Hyung-Soon Park</name>
<name sortKey="Stanley, Christopher J" sort="Stanley, Christopher J" uniqKey="Stanley C" first="Christopher J." last="Stanley">Christopher J. Stanley</name>
</noCountry>
</tree>
</affiliations>
</record>
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