手持式显微手术器械主动误差消除的设计与实现

W. T. Ang, C. Riviere, P. Khosla
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引用次数: 62

摘要

介绍了发展和。Micron第一个原型的初步实验结果,这是一种主动手持仪器,用于感知和补偿玻璃体视网膜显微手术期间的生理震颤和其他不必要的运动。该仪器包含六个惯性传感器,允许计算尖端的运动。对捕获的运动进行处理,以区分所需和不需要的运动成分。通过加权频率傅里叶线性组合算法实现了颤振消除,并研究了利用神经网络技术补偿非颤振误差。仪器尖端连接在一个压电驱动的三自由度并联机械臂上。致动器移动与震动相反的工具尖端,从而抑制错误的运动。在生理震动频带内振荡运动的运动抵消实验表明,Micron在一维测试中能将误差幅度降低45.3%,在三维测试中能将误差幅度降低37.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of active error canceling in hand-held microsurgical instrument
Presents the development and. initial experimental results of the first prototype of Micron, an active hand-held instrument to sense and compensate physiological tremor and other unwanted movement during vitreoretinal microsurgery. The instrument incorporates six inertial sensors, allowing the motion of the tip to be computed. The motion captured is processed to discriminate between desired and undesired components of motion. Tremor canceling is implemented via the weighted-frequency Fourier linear combiner (WFLC) algorithm, and compensation of non-tremorous error via a neural network technique is being investigated. The instrument tip is attached to a three-degree-of-freedom parallel manipulator with piezoelectric actuation. The actuators move the tool tip in opposition to the tremor, thereby suppressing the erroneous motion. Motion canceling experiments with oscillatory motions in the frequency band of physiological tremor show that Micron is able to reduce error amplitude by 45.3% in 1-D tests and 37.2% in 3-D tests.
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