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

机译:没有力传感器测量人臂的动态阻抗

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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:康复机器人可用于精确地测量人臂的机械阻抗,以定量评估患者接受神经晕染疗法的患者的运动功能。然而,这些机器人系统的高成本和它们所需的传感器已经为广泛的临床用途构成了障碍。我们提出了一种测量人臂的机械阻抗的技术,而无需物理力传感器来测量人机交互力。相反,这些力由虚拟传感器准确地估计,虚拟传感器包含机器人的运动学和动态,以及来自廉价加速度计的加速度测量。识别技术在已知阻抗的质量弹簧系统上验证,随后将其应用于从人臂收集的数据。

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