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用于机器人辅助玻璃体视网膜手术的三自由度力传感电动微型镊子

3-DOF Force-Sensing Motorized Micro-Forceps for Robot-Assisted Vitreoretinal Surgery.

作者信息

Gonenc Berk, Chamani Alireza, Handa James, Gehlbach Peter, Taylor Russell H, Iordachita Iulian

机构信息

CISST ERC at Johns Hopkins University, Baltimore, MD 21218 USA.

Wilmer Eye Institute at The Johns Hopkins School of Medicine, Baltimore, MD 21287 USA.

出版信息

IEEE Sens J. 2017 Jun 1;17(11):3526-3541. doi: 10.1109/JSEN.2017.2694965. Epub 2017 Apr 18.

Abstract

In vitreoretinal surgery, membrane peeling is a prototypical task where a layer of fibrous tissue is delaminated off the retina with a micro-forceps by applying very fine forces that are mostly imperceptible to the surgeon. Previously we developed sensitized ophthalmic surgery tools based on fiber Bragg grating (FBG) strain sensors, which were shown to precisely detect forces at the instrument's tip in two degrees of freedom perpendicular to the tool axis. This paper presents a new design that employs an additional sensor to capture also the tensile force along the tool axis. The grasping functionality is provided via a compact motorized unit. To compute forces, we investigate two distinct fitting methods: a linear regression and a nonlinear fitting based on second-order Bernstein polynomials. We carry out experiments to test the repeatability of sensor outputs, calibrate the sensor and validate its performance. Results demonstrate sensor wavelength repeatability within 2 pm. Although the linear method provides sufficient accuracy in measuring transverse forces, in the axial direction it produces a root mean square (rms) error over 3 mN even for a confined magnitude and direction of forces. On the other hand, the nonlinear method provides a more consistent and accurate measurement of both the transverse and axial forces for the entire force range (0-25 mN). Validation including random samples shows that our tool with the nonlinear force computation method can predict 3-D forces with an rms error under 0.15 mN in the transverse plane and within 2 mN accuracy in the axial direction.

摘要

在玻璃体视网膜手术中,膜剥离是一项典型任务,即使用显微镊子以极小的力(外科医生几乎无法察觉)将一层纤维组织从视网膜上分层剥离。此前,我们基于光纤布拉格光栅(FBG)应变传感器开发了灵敏的眼科手术工具,这些工具已被证明能够精确检测工具尖端在垂直于工具轴的两个自由度上的力。本文提出了一种新设计,该设计采用了一个额外的传感器来捕获沿工具轴的拉力。抓取功能通过一个紧凑的电动单元实现。为了计算力,我们研究了两种不同的拟合方法:线性回归和基于二阶伯恩斯坦多项式的非线性拟合。我们进行实验以测试传感器输出的重复性、校准传感器并验证其性能。结果表明传感器波长重复性在2皮米以内。尽管线性方法在测量横向力时提供了足够的精度,但在轴向方向上,即使对于受限大小和方向的力,其均方根(rms)误差也超过3毫牛。另一方面,非线性方法在整个力范围(0 - 25毫牛)内对横向力和轴向力都提供了更一致且准确的测量。包括随机样本的验证表明,我们采用非线性力计算方法的工具能够在横向平面内以均方根误差低于0.15毫牛、在轴向方向上以2毫牛的精度预测三维力。

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