典型文献
Bone Milling:On Monitoring Cutting State and Force Using Sound Signals
文献摘要：
Efficient monitoring of bone milling conditions in orthopedic and neurosurgical surgery can prevent tissue,bone,and tool damage,and reduce surgery time.Current researches are mainly focused on recognizing the cutting state using force signal.However,the force signal during the milling process is diffiicult and expensive to acquire.In this study,a neural network-based method is proposed to recognize the cutting state and force during the bone milling process using sound signals.Numerical modeling of the cutting force is performed to capture the relationship between the cutting force and the depth of cut in the bone milling process.The force model is used to calibrate the training data to improve the recognition accuracy.Wavelet package transform is used for signal processing to understand bone-cutting phenomena using sound signals.The proposed system succeeds to monitor the bone milling process to reduce the surgical risk.Experiments on standard bone specimens and vertebrae also indicate that the proposed approach has considerable potential for use in computer-assisted and robot-assisted bone-cutting systems used in various types of surgery.
文献关键词：
中图分类号：
作者姓名：
Zhenzhi Ying;Liming Shu;Naohiko Sugita
作者机构：
Department of Mechanical Engineering,School of Engineering,The University of Tokyo,7-3-1 Hongo,Bunkyo-ku,Tokyo 1138656,Japan;Research into Artifacts Center for Engineering,School of Engineering,The University of Tokyo,7-3-1 Hongo,Bunkyo-ku,Tokyo 1138656,Japan
文献出处：
引用格式：
[1]Zhenzhi Ying;Liming Shu;Naohiko Sugita-.Bone Milling:On Monitoring Cutting State and Force Using Sound Signals)[J].中国机械工程学报,2022(03):123-134
A类：
diffiicult
B类：
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AB值：
0.541318
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