Integrating dynamic stereo-radiography and surface-based motion data for subject-specific musculoskeletal dynamic modeling
Identifieur interne : 003239 ( Ncbi/Checkpoint ); précédent : 003238; suivant : 003240Integrating 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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PMC:4197008Le document en format XML
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<term>Electromyography</term>
<term>Humans</term>
<term>Knee Joint (diagnostic imaging)</term>
<term>Knee Joint (physiology)</term>
<term>Male</term>
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<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>
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<term>Muscle, Skeletal</term>
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<term>Muscles squelettiques</term>
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<term>Muscles squelettiques</term>
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<term>Arthroplasty, Replacement, Knee</term>
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<term>Déplacement</term>
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<term>Modèles biologiques</term>
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<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>
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