In vivo human knee joint dynamic properties as functions of muscle contraction and joint position

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Deutscher übersetzter Titel:Die dynamischen Eigenschaften des Kniegelenks in vivo als Funktion von Muskelkontraktion und Gelenkwinkel
Autor:Zhang, L.Q.; Nuber, G.; Butler, J.; Bowen, M.; Rymer, W.Z.
Erschienen in:Journal of biomechanics
Veröffentlicht:31 (1998), 1, S. 71-76, Lit.
Format: Literatur (SPOLIT)
Publikationstyp: Zeitschriftenartikel
Medienart: Gedruckte Ressource Elektronische Ressource (online)
Sprache:Englisch
ISSN:0021-9290, 1873-2380
DOI:10.1016/S0021-9290(97)00106-1
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Erfassungsnummer:PU199805301914
Quelle:BISp

Abstract des Autors

Information on the dynamic properties (joint stiffness, viscosity and limb inertia) of the human knee joint is scarce in the literature, especially for actively contracting knee musculature. A joint driving device was developed to apply small-amplitude random perturbations to the human knee at several flexion angles with the subject maintaining various levels of muscle contraction. It was found that joint stiffness and viscosity increased with muscle contraction substantially, while limb inertia was constant. Stiffness produced by the quadriceps was highest at 30ø flexion and decreased with increasing or decreasing flexion angle, while knee flexors produced highest stiffness at 90ø flexion. When knee flexion was <60ø, stiffness produced by the quadriceps was higher than that of the hamstrings and gastrocnemius at the same level of background muscle torque, while knee flexor muscles produced higher stiffnesses than the quadriceps at 90ø flexion. Similar but less obvious trends were observed for joint viscosity. Passive joint stiffness at full knee extension was significantly higher than in more flexed positions. Surprisingly, as the knee joint musculature changed from relaxed to contracting at 50% MVC, system damping ratio remained at about 0.2. This outcome potentially simplifies neuromuscular control of the knee joint. In contrast, the natural undamped frequency increased more than twofold, potentially making the knee joint respond more quickly to the central nervous system commands. The approach described here provides us with a potentially valuable tool to quantify in vivo dynamic properties of normal and pathological human knee joints. Verf.-Referat