Use of Robotic Manipulators to Study Diarthrodial Joint Function

被引:13
作者
Debski, Richard E. [1 ,2 ]
Yamakawa, Satoshi [3 ]
Musahl, Volker [1 ,2 ]
Fujie, Hiromichi [3 ]
机构
[1] Univ Pittsburgh, Ctr Bioengn 408, Dept Bioengn, Orthopaed Robot Lab, 300 Technol Dr, Pittsburgh, PA 15219 USA
[2] Univ Pittsburgh, Ctr Bioengn 408, Dept Orthopaed Surg, Orthopaed Robot Lab, 300 Technol Dr, Pittsburgh, PA 15219 USA
[3] Tokyo Metropolitan Univ, 6-6 Asahigaoka, Tokyo 1910065, Japan
来源
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME | 2017年 / 139卷 / 02期
关键词
ANTERIOR CRUCIATE LIGAMENT; IN-SITU FORCES; SIMULATED MUSCLE LOADS; HUMAN KNEE-JOINT; ANTEROINFERIOR GLENOHUMERAL CAPSULE; PATELLOFEMORAL CONTACT PRESSURES; GRAFT FIXATION; ACL FORCES; KINEMATICS; RECONSTRUCTION;
D O I
10.1115/1.4035644
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Diarthrodial joint function is mediated by a complex interaction between bones, ligaments, capsules, articular cartilage, and muscles. To gain a better understanding of injury mechanisms and to improve surgical procedures, an improved understanding of the structure and function of diarthrodial joints needs to be obtained. Thus, robotic testing systems have been developed to measure the resulting kinematics of diarthrodial joints as well as the in situ forces in ligaments and their replacement grafts in response to external loading conditions. These six degrees-of-freedom (DOF) testing systems can be controlled in either position or force modes to simulate physiological loading conditions or clinical exams. Recent advances allow kinematic, in situ force, and strain data to be measured continuously throughout the range of joint motion using velocity-impedance control, and in vivo kinematic data to be reproduced on cadaveric specimens to determine in situ forces during physiologic motions. The principle of superposition can also be used to determine the in situ forces carried by capsular tissue in the longitudinal direction after separation from the rest of the capsule as well as the interaction forces with the surrounding tissue. Finally, robotic testing systems can be used to simulate soft tissue injury mechanisms, and computational models can be validated using the kinematic and force data to help predict in vivo stresses and strains present in these tissues. The goal of these analyses is to help improve surgical repair procedures and postoperative rehabilitation protocols. In the future, more information is needed regarding the complex in vivo loads applied to diarthrodial joints during clinical exams and activities of daily living to serve as input to the robotic testing systems. Improving the capability to accurately reproduce in vivo kinematics with robotic testing systems should also be examined.
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页数:7
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