State Detection of Bone Milling with Multi-sensor InformationFusion
文献类型：会议论文
| 作者 | Yu Wang; Zhen Deng; Yu Sun; Binsheng Yu; Peng Zhang; Ying Hu; Jianwei Zhang |
| 出版日期 | 2015 |
| 会议名称 | IEEE Conference on Robotics and Biomimetics |
| 会议地点 | 珠海 |
| 英文摘要 | To address the safety issues of bone drilling, especially bone screw path drilling, this paper proposes a new method to detect the bone drilling state. The proposed method performs pattern recognition based on the results of multi-sensor information fusion. A support vector machine is selected as the pattern classifier, and the adopted signals include the force, current, feed speed, rotation speed and deflection of the robotic arm. Four different drilling states, i.e., the cortical, cortical-transit-cancellous, almost-break-cortical and cancellous states, are detected, and then help the surgical robot system to achieve safe bone drilling. The proposed method is validated and analyzed through an experiments on pig scapula, and found to have potential clinical application to the bone drilling process in vertebral, le |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6746]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Yu Wang,Zhen Deng,Yu Sun,et al. State Detection of Bone Milling with Multi-sensor InformationFusion[C]. 见:IEEE Conference on Robotics and Biomimetics. 珠海. |
入库方式： OAI收割
来源：深圳先进技术研究院
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