【摘要】 超声骨刀作为一种高效和精准的骨科手术工具，因其能够使用高频振动实现精确切割骨骼、减少对软组织的损伤而得到广泛应用.然而，刀头与骨材料之间的切削状态良好与否会影响手术效果，其中切削速度是影响切削状态的关键因素之一.过低的速度可能导致切削效率降低，而过高的速度则可能引发骨组织过热、刀头磨损加剧，因此需要对切削过程进行监控.为解决切削监测问题，提出了一种基于双向门控循环单元的指数加权平滑模型（BiGRU-EWMA）切削状态监测方法 .该方法结合了双向信息处理能力和指数加权移动平均方法，有效提升了状态监测的准确性和实时性.实验结果表明，该方法的准确率达到了98.2%，监测系统的检测延迟缩短至35 ms.更多还原

【Abstract】 Piezosurgery,as an efficient and precise tool for orthopaedic surgery,has been widely used due to its ability to use high-frequency vibration to achieve precise cutting of bone while minimizing soft tissue damage.However,the quality of the cutting condition between the blade and the bone material directly affects the surgical outcome,with cutting speed being a critical factor influencing the cutting condition.Insufficient speed can result in reduced cutting efficiency,while excessive speed can result in thermal damage to the bone and accelerated blade wear.It is therefore essential to monitor the cutting process.To address this challenge,a cutting condition monitoring method based on a bidirectional gated recurrent unit combined with an exponentially weighted moving average(BiGRU-EWMA) model was proposed.This method integrated bidirectional information processing capability with the exponentially weighted moving average approach,which significantly improved the accuracy and real-time performance of condition monitoring.Experimental results show that the proposed method achieves an accuracy of 98.2%,and the monitoring system reduces the detection latency to 35 ms.更多还原