Literature DB >> 26516110

Using an admittance algorithm for bone drilling procedures.

Fernando Accini1, Iñaki Díaz2, Jorge Juan Gil3.   

Abstract

Bone drilling is a common procedure in many types of surgeries, including orthopedic, neurological and otologic surgeries. Several technologies and control algorithms have been developed to help the surgeon automatically stop the drill before it goes through the boundary of the tissue being drilled. However, most of them rely on thrust force and cutting torque to detect bone layer transitions which has many drawbacks that affect the reliability of the process. This paper describes in detail a bone-drilling algorithm based only on the position control of the drill bit that overcomes such problems and presents additional advantages. The implication of each component of the algorithm in the drilling procedure is analyzed and the efficacy of the algorithm is experimentally validated with two types of bones.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Assisted surgery; Bone drilling; Layer detection

Mesh:

Year:  2015        PMID: 26516110     DOI: 10.1016/j.cmpb.2015.10.003

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  Methodical Approach for Determining the Length of Drill Channels in Osteosynthesis.

Authors:  Michael Sorg; Jan Osmers; Andreas Fischer
Journal:  Sensors (Basel)       Date:  2019-08-13       Impact factor: 3.576

Review 2.  Intraoperative tissue classification methods in orthopedic and neurological surgeries: A systematic review.

Authors:  Aidana Massalimova; Maikel Timmermans; Hooman Esfandiari; Fabio Carrillo; Christoph J Laux; Mazda Farshad; Kathleen Denis; Philipp Fürnstahl
Journal:  Front Surg       Date:  2022-08-03

3.  State Recognition of Bone Drilling Based on Acoustic Emission in Pedicle Screw Operation.

Authors:  Fengqing Guan; Yu Sun; Xiaozhi Qi; Ying Hu; Gang Yu; Jianwei Zhang
Journal:  Sensors (Basel)       Date:  2018-05-09       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.