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An identification technique for evaluating body segment parameters in the upper extremity from manipulator-hand contact forces and arm kinematics.

机译:一种从机械手手的接触力和手臂运动学评估上肢体段参数的识别技术。

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OBJECTIVE: To show that it is possible to determine segment masses and segment centers of mass by measuring manipulator-hand contact forces and joint angles during upper extremity movement. BACKGROUND: The method serves as a quick subject specific body segment parameter evaluation technique. Clinically we see this method as an alternative upper extremity body segment parameter evaluation study especially useful in rehabilitation treatment activities. METHODS: The experiment is based on coupling the human arm with a robotic manipulator which is then used for imposing a specified sagittal plane trajectory. Joint angles and forces in the contact point serve as input to the identification procedure. For verification purposes the proposed identification procedure was first performed on a mechanical arm. Afterwards a low velocity trajectory was imposed into all joints of the human upper extremity, with very small angular deviations. Within this small angular region the arm was assumed to be represented as a linear system. FINDINGS: The outcome of the identification procedure is an estimate of masses and center of mass coordinates for the lower arm and palm segments, their products for the upper arm and the passive moments around the measured angle of all joints in the sagittal plane. The results obtained for three particular human arms are eventually compared to the average population based literature. CONCLUSION: From the clinical point of view the study can become useful for biomechanical evaluation and for evaluating biomechanical properties of lower extremities or other body segments. This method may also provide a foundation to measuring body segment moments of inertia and joint viscoelastic parameters.
机译:目的:表明可以通过测量上肢运动过程中机械手与手的接触力和关节角度来确定节段质量和节段质量中心。背景:该方法是一种快速的特定对象的身体部位参数评估技术。在临床上,我们将此方法视为替代性上肢身体节段参数评估研究,在康复治疗活动中特别有用。方法:该实验基于将人体手臂与机器人操纵器耦合,然后将其用于施加指定的矢状平面轨迹。接触点的关节角度和作用力用作识别过程的输入。为了验证,建议的识别程序首先在机械臂上执行。之后,低速轨迹被施加到人类上肢的所有关节中,并且角度偏差很小。在这个小的角度区域内,假定手臂被表示为线性系统。结果:识别过程的结果是估计下臂和手掌段的质量和质心坐标,上臂的乘积以及在矢状面中所有关节的测量角度周围的被动力矩。最终将针对三种特定人类武器获得的结果与基于平均人群的文献进行比较。结论:从临床角度来看,该研究可用于生物力学评估以及评估下肢或其他身体部位的生物力学特性。该方法还可以为测量人体节段的惯性矩和关节粘弹性参数提供基础。

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