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Measuring the dynamic impedance of the human arm without a force sensor

机译:在没有力传感器的情况下测量手臂的动态阻抗

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摘要

Rehabilitation robots may be used to accurately measure the mechanical impedance of the human arm in order to quantitatively assess the motor function of a patient undergoing neurorehabilitation therapy. However, the high cost of these robotic systems and their required sensors has posed a barrier to widespread clinical use. We present a technique to measure the mechanical impedance of the human arm without the need for a physical force sensor to measure human-robot interaction forces. Instead, these forces are accurately estimated by a virtual sensor that incorporates the robot's kinematics and dynamics, along with acceleration measurements from an inexpensive accelerometer. The identification techniques are validated on a mass-spring system of known impedance and are subsequently applied to data collected from the human arm.
机译:康复机器人可用于准确测量人手臂的机械阻抗,以便定量评估接受神经康复治疗的患者的运动功能。但是,这些机器人系统及其所需的传感器的高昂成本为广泛的临床应用构成了障碍。我们提出了一种无需物理力传感器即可测量人机交互作用力的方法来测量人体机械阻抗。取而代之的是,这些力是通过虚拟传感器精确估算的,该传感器结合了机器人的运动学和动力学特性,以及来自廉价加速度计的加速度测量值。识别技术在已知阻抗的质量弹簧系统上进行了验证,随后应用于从人体手臂收集的数据。

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