触觉装置中外科医生手部振动的非参数识别

A. Hajnayeb, Ahmad Ghasemloonia
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引用次数: 1

摘要

在过去的二十年里,外科手术手控制器通过增加触觉反馈和振动感觉而得到了发展。触觉反馈可以提供逼真的低频现象模拟,而在手控器中添加振动可以模拟高频振动现象,如骨钻。为触觉设备增加振动的两种主要方法是向后驱动的机械臂和在手部控制器的手柄(触控笔)上增加振动致动器。在这两种方法中,都需要一种高保真的方法来研究手控制器抓取点的动力学,以正确地设计振动发生器。开发了用户手握触控笔时的动态模型,包括实验设置和SDOF/MDOF动态模型的组合。目前的动态模型受限于激励频率的范围,其中工具持有不同的风格。这种抓取方式对模型参数的影响在以往的研究中尚未得到研究。在本研究中,建立了一个实验装置来研究触觉效应器抓握点的动力学模型。采用非参数辨识方法对系统的频率响应进行建模。操作员的手的频率响应的幅值和相位被绘制为频率的函数。手模型的固有频率与假设的SDOF模型一致。通过分析相位差和相干谱,研究了不同握持方式和手指样式下的固有频率和幅值比。结果表明,在不同手型和手指类型下,固有频率和振幅比发生了变化。本研究开发的模型可以与触觉手控制器中的振动发生器结合使用,以更准确地呈现最终用户手部手术走廊处的开发振动。
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Nonparametric Identification of the Surgeon's Hand Vibration in Haptic Devices
Surgical handcontrollers are evolved in the last two decades by adding haptic feedback and vibration sensation. Haptic feedback can provide a realistic simulation of low frequency phenomena, while adding vibration to handcontrollers simulate high frequency vibration phenomena such as bone drilling. Two main methods of adding vibration to haptic devices are back drivable robot arms and adding vibration actuators to the handle (stylus) of the hand controllers. In both of these methods, a high fidelity method to investigate the dynamics at the grasping point of the handcontrollers is required to properly design the vibration generators. Developed dynamic models of the user hand while holding the stylus of the haptic devices includes a combination of experimental setups, and SDOF/MDOF dynamic models. The current dynamic models are limited by the range of excitation frequency where the tool was held with different styles. This grasping style affects the model parameters, which has not been investigated in previous studies. In this study, an experimental setup is developed to investigate a dynamic model of the grasping point of the haptic endeffectors. The system was modeled by its frequency response with a non-parametric identification method. The amplitude and phase of the frequency response of the operator's hand are plotted as a function of frequency. The natural frequency of the hand model is in agreement with the assumed SDOF model. The phase difference and the coherence spectrum is analyzed to investigate the natural frequencies and amplitude ratios at different grasping configurations and finger styles. The results showed changes in the natural frequencies and amplitude ratios for different hand configurations and finger styles. The developed model in this study can be used in conjunction with the vibration generators in haptic handcontrollers to more accurately render the developed vibration at surgical corridors at the end-user hand.
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