A Smart Recognition Method for Otological Drill Milling through a Bone Tissue Wall
Xi Sheng Li, Yong Ming Xie, Zhi Qiang Gao, Guo Feng · Applied Mechanics and Materials · 2014
Surgeons are striving to achieve higher quality results in minimally invasive operation. Intelligent medical equipments are able to improve operation safety. Otological drill milling through a bone tissue wall is a common milling fault in ear surgery. In this paper a multi-sensor information fusion method for identifying milling faults is presented. Five surgeons experimented on calvarian bones using the intelligent otological drill. The average recognition rate of milling faults was 91%, and only 0.8% of normal millings were identified as milling faults.