A method for identifying otological drill entanglement with a cotton swab.

Q Medicine

Computer Aided Surgery Pub Date : 2011-01-01 Epub Date: 2011-09-30 DOI:10.3109/10929088.2011.617834

Tianyang Cao, Xisheng Li, Zhiqiang Gao, Guodong Feng, Peng Shen

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引用次数: 1

Abstract

Background: The entanglement of the otological drill with cotton swabs is a common milling fault in ear surgery. To improve operational safety, this paper presents a method for identifying this type of milling fault.

Methods: Force and current sensors were installed on a modified otological drill. In accordance with the DC motor model and cutting force model, two features of the milling process were extracted, namely the characteristic curve and the dynamic relationship between the sensor signals. These are complementary features. An adaptive filter was designed to fuse them together and output a curve that was sensitive to milling faults and was stable during normal milling. Based on the filtering data, a rule base is presented for identifying cotton swab entanglement.

Results: Five surgeons were invited to perform an experiment on calvarian bones. The average recognition rate for milling faults was 90%, whereas only 2% of normal millings were identified as milling faults.

Conclusions: The presented method could adapt to the technique of different surgeons and identify milling faults exactly.

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一种用棉签识别耳钻缠结的方法。

背景:耳科钻头与棉签缠结是耳科手术中常见的磨铣故障。为了提高操作安全性，本文提出了一种识别该类铣削故障的方法。方法:在改良耳钻上安装力、电流传感器。根据直流电机模型和切削力模型，提取铣削过程的两个特征，即特征曲线和传感器信号之间的动态关系。这些是互补的特性。设计了一种自适应滤波器，将它们融合在一起，输出对铣削故障敏感且在正常铣削过程中稳定的曲线。在过滤数据的基础上，提出了棉签缠结识别规则库。结果:邀请5位外科医生进行颅骨实验。铣削故障的平均识别率为90%，而正常铣削中只有2%被识别为铣削故障。结论:该方法能适应不同术者的术式，准确识别出铣削故障。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Aided Surgery 医学-外科

CiteScore

0.75

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The scope of Computer Aided Surgery encompasses all fields within surgery, as well as biomedical imaging and instrumentation, and digital technology employed as an adjunct to imaging in diagnosis, therapeutics, and surgery. Topics featured include frameless as well as conventional stereotaxic procedures, surgery guided by ultrasound, image guided focal irradiation, robotic surgery, and other therapeutic interventions that are performed with the use of digital imaging technology.