Abstract
This paper presents a sound pressure signal acquiring and processing method to perform state identification during surgical milling process. According to the dynamic of surgical milling, it is proved that the magnitude of the sound pressure signal during cortical bone milling is larger than that during cancellous bone milling. The signal recorded by a microphone is decomposed into some frequency sub-bands through the wavelet packet transform (WPT), and the ratio of the WPT energy during bone milling to the WPT energy during free running is calculated to determine that the material being milled is either cortical bone or cancellous bone. The proposed method is experimentally verified through the milling operation in in vitro porcine spines, and the experimental results indicates that the energy ratio during cortical bone milling is larger than that during cancellous bone milling, so the states of the milling operation can be identified correctly.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
