Integrating dynamic stereo-radiography and surface-based motion data for subject-specific musculoskeletal dynamic modeling
Identifieur interne : 002647 ( Main/Exploration ); précédent : 002646; suivant : 002648Integrating dynamic stereo-radiography and surface-based motion data for subject-specific musculoskeletal dynamic modeling
Auteurs : Liying Zheng [États-Unis] ; Kang Li ; Snehal Shetye ; Xudong Zhang [États-Unis]Source :
- Journal of biomechanics [ 0021-9290 ] ; 2014.
Descripteurs français
- KwdFr :
- Adulte, Arthroplastie prothétique de genou, Articulation du genou (imagerie diagnostique), Articulation du genou (physiologie), Déplacement, Humains, Modèles biologiques, Muscles squelettiques (imagerie diagnostique), Muscles squelettiques (physiologie), Mâle, Phénomènes biomécaniques, Radiographie, Électromyographie.
- MESH :
- imagerie diagnostique : Articulation du genou, Muscles squelettiques.
- physiologie : Articulation du genou, Muscles squelettiques.
- Adulte, Arthroplastie prothétique de genou, Déplacement, Humains, Modèles biologiques, Mâle, Phénomènes biomécaniques, Radiographie, Électromyographie.
English descriptors
- KwdEn :
- MESH :
- diagnostic imaging : Knee Joint, Muscle, Skeletal.
- physiology : Knee Joint, Muscle, Skeletal.
- Adult, Arthroplasty, Replacement, Knee, Biomechanical Phenomena, Electromyography, Humans, Male, Models, Biological, Motion, Radiography.
Abstract
This paper presents a new subject-specific musculoskeletal dynamic modeling approach that integrates high-accuracy dynamic stereo-radiography (DSX) joint kinematics and surface-based full-body motion data. We illustrate this approach by building a model in OpenSim for a patient who participated in a meniscus transplantation efficacy study, incorporating DSX data of the tibiofemoral joint kinematics. We compared this DSX-incorporated (DSXI) model to a default OpenSim model built using surface-measured data alone. The architectures and parameters of the two models were identical, while the differences in (time-averaged) tibiofemoral kinematics were of the order of magnitude of 10° in rotation and 10 mm in translation. Model-predicted tibiofemoral compressive forces and knee muscle activations were compared against literature data acquired from instrumented total knee replacement components (
Url:
DOI: 10.1016/j.jbiomech.2014.08.009
PubMed: 25169658
PubMed Central: 4197008
Affiliations:
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Le document en format XML
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last="Li">Kang Li</name><affiliation><nlm:aff id="A4">Department of Industrial and Systems Engineering, Rutgers, The State University of New Jersey</nlm:aff><wicri:noCountry code="subfield">The State University of New Jersey</wicri:noCountry></affiliation></author><author><name sortKey="Shetye, Snehal" sort="Shetye, Snehal" uniqKey="Shetye S" first="Snehal" last="Shetye">Snehal Shetye</name><affiliation><nlm:aff id="A5">Department of Mechanical Engineering, Colorado State University</nlm:aff><wicri:noCountry code="subfield">Colorado State University</wicri:noCountry></affiliation></author><author><name sortKey="Zhang, Xudong" sort="Zhang, Xudong" uniqKey="Zhang X" first="Xudong" last="Zhang">Xudong Zhang</name><affiliation wicri:level="4"><nlm:aff id="A1">Department of Mechanical Engineering and Materials Science, University of Pittsburgh</nlm:aff><country>États-Unis</country><placeName><settlement type="city">Pittsburgh</settlement><region 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when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Arthroplasty, Replacement, Knee</term><term>Biomechanical Phenomena</term><term>Electromyography</term><term>Humans</term><term>Knee Joint (diagnostic imaging)</term><term>Knee Joint (physiology)</term><term>Male</term><term>Models, Biological</term><term>Motion</term><term>Muscle, Skeletal (diagnostic imaging)</term><term>Muscle, Skeletal (physiology)</term><term>Radiography</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte</term><term>Arthroplastie prothétique de genou</term><term>Articulation du genou (imagerie diagnostique)</term><term>Articulation du genou (physiologie)</term><term>Déplacement</term><term>Humains</term><term>Modèles biologiques</term><term>Muscles squelettiques (imagerie diagnostique)</term><term>Muscles squelettiques (physiologie)</term><term>Mâle</term><term>Phénomènes biomécaniques</term><term>Radiographie</term><term>Électromyographie</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Knee Joint</term><term>Muscle, Skeletal</term></keywords><keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Articulation du genou</term><term>Muscles squelettiques</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Articulation du genou</term><term>Muscles squelettiques</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Knee Joint</term><term>Muscle, Skeletal</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Arthroplasty, Replacement, Knee</term><term>Biomechanical Phenomena</term><term>Electromyography</term><term>Humans</term><term>Male</term><term>Models, Biological</term><term>Motion</term><term>Radiography</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Arthroplastie prothétique de genou</term><term>Déplacement</term><term>Humains</term><term>Modèles biologiques</term><term>Mâle</term><term>Phénomènes biomécaniques</term><term>Radiographie</term><term>Électromyographie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">This paper presents a new subject-specific musculoskeletal dynamic modeling approach that integrates high-accuracy dynamic stereo-radiography (DSX) joint kinematics and surface-based full-body motion data. We illustrate this approach by building a model in OpenSim for a patient who participated in a meniscus transplantation efficacy study, incorporating DSX data of the tibiofemoral joint kinematics. We compared this DSX-incorporated (DSXI) model to a default OpenSim model built using surface-measured data alone. The architectures and parameters of the two models were identical, while the differences in (time-averaged) tibiofemoral kinematics were of the order of magnitude of 10° in rotation and 10 mm in translation. Model-predicted tibiofemoral compressive forces and knee muscle activations were compared against literature data acquired from instrumented total knee replacement components (<xref rid="R15" ref-type="bibr">Fregly et al., 2012</xref>) and the patient's EMG recording. The comparison demonstrated that the incorporation of DSX data improves the veracity of musculoskeletal dynamic modeling.</p></div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Pennsylvanie</li></region><settlement><li>Pittsburgh</li></settlement><orgName><li>Université de Pittsburgh</li></orgName></list><tree><noCountry><name sortKey="Li, Kang" sort="Li, Kang" uniqKey="Li K" first="Kang" last="Li">Kang Li</name><name sortKey="Shetye, Snehal" sort="Shetye, Snehal" uniqKey="Shetye S" first="Snehal" last="Shetye">Snehal Shetye</name></noCountry><country name="États-Unis"><region name="Pennsylvanie"><name sortKey="Zheng, Liying" sort="Zheng, Liying" uniqKey="Zheng L" first="Liying" last="Zheng">Liying Zheng</name></region><name sortKey="Zhang, Xudong" sort="Zhang, Xudong" uniqKey="Zhang X" first="Xudong" last="Zhang">Xudong Zhang</name><name sortKey="Zhang, Xudong" sort="Zhang, Xudong" uniqKey="Zhang X" first="Xudong" last="Zhang">Xudong Zhang</name><name sortKey="Zhang, Xudong" sort="Zhang, Xudong" uniqKey="Zhang X" first="Xudong" last="Zhang">Xudong Zhang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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