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Error Source Identification in Measuring Soft Tissue Stiffness and Self Compensating This Error Using Three Probes Configuration

机译:使用三个探头配置来测量软组织刚度并自动补偿该误差的误差源识别

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One of the biggest challenges for measuring soft tissue stiffness using tactile sensors is to have an output independent of the contact conditions. Although the approach of using two springs with different stiffness is used, the output of sensor is usually unstable because of the soft tissue surface irregularity. This irregularity creates an inclination angle between the sensor tips and the tissue. By scanning some real organs of a chicken using laser microscope, it is found that the angle value does not exceed 3 degrees. A modification on the original sensor is proposed to compensate that error. A finite element analysis for the two sensors is carried out to compare their behavior. The error of the original approach is about 55% and 103% with an inclination angle 3 degrees on the left and right direction, respectively. However, the modified sensor output is stable up to 8 degrees with an error not exceeding 4%. Furthermore, it could differentiate between different soft tissues stiffness within the specified range.
机译:使用触觉传感器测量软组织硬度的最大挑战之一是要获得与接触条件无关的输出。尽管使用了使用具有不同刚度的两个弹簧的方法,但是由于软组织表面的不规则性,传感器的输出通常是不稳定的。这种不规则性在传感器尖端和组织之间产生倾斜角。通过使用激光显微镜扫描鸡的一些真实器官,发现该角度值不超过3度。建议对原始传感器进行修改以补偿该误差。对两个传感器进行了有限元分析,以比较它们的行为。原始方法的误差分别约为55%和103%,左右方向的倾斜角度分别为3度。但是,修改后的传感器输出可稳定在8度以下,误差不超过4%。此外,它可以在指定范围内区分不同的软组织硬度。

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