Literature DB >> 33533110

Vibration-based drilling depth estimation of bone.

Yu Dai1, Mehran Armand2,3.   

Abstract

Drilling is one of the most common forms of tissue removal procedures, and drilling to a desired depth contributes to avoid injury to the soft tissue beyond and ensure implant stability. The deformation of the human musculoskeletal system has been a common problem in many drilling processes, making it difficult to achieve accurate estimation of the drilling depth. To remedy this problem, a dynamic model is presented to describe the relationship between the axial vibration of the drill and the feed rate. During drilling process, the amplitude of the main harmonic is estimated from the high-frequency component of the acceleration signal, while the short-time integral of the low-frequency part is calculated. Both the initial contact of the drilling tool to the bone and breakthrough are identified by comparing either the harmonic amplitude or the short-time integral. The harmonic amplitude is mapped to the data from a non-contact position sensor tracking the feed rate of the drill. Multiple drilling experiments on both a handheld device and a robotic cutting system demonstrated the effectiveness, stability and accuracy of the method when estimating depth. The mean maximum error for drilling depth estimation is less than 15% of the simulated bone thickness when using the handheld device, while the mean maximum error is less than 5% for the robotic cutting system.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  condition monitoring; harmonic analysis; machining; musculoskeletal system; vibration measurement

Mesh:

Year:  2021        PMID: 33533110      PMCID: PMC9040507          DOI: 10.1002/rcs.2233

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.483


  6 in total

1.  A model-based bone milling state identification method via force sensing for a robotic surgical system.

Authors:  Kais I Al-Abdullah; Chee Peng Lim; Zoran Najdovski; Wisam Yassin
Journal:  Int J Med Robot       Date:  2019-03-12       Impact factor: 2.547

2.  Use of wavelet energy for spinal cord vibration analysis during spinal surgery.

Authors:  Yu Dai; Jianxun Zhang; Yuan Xue
Journal:  Int J Med Robot       Date:  2012-12-26       Impact factor: 2.547

3.  Design and performance study of an orthopaedic surgery robotized module for automatic bone drilling.

Authors:  George Boiadjiev; Rumen Kastelov; Tony Boiadjiev; Vladimir Kotev; Kamen Delchev; Kazimir Zagurski; Vladimir Vitkov
Journal:  Int J Med Robot       Date:  2013-02-26       Impact factor: 2.547

Review 4.  Comprehensive analysis on orthopedic drilling: A state-of-the-art review.

Authors:  Muhammad Jamil; Saima Rafique; Aqib Mashood Khan; Hussien Hegab; Mozammel Mia; Munish Kumar Gupta; Qinghua Song
Journal:  Proc Inst Mech Eng H       Date:  2020-03-18       Impact factor: 1.617

5.  Feed rate control in robotic bone drilling process.

Authors:  Tony Boiadjiev; George Boiadjiev; Kamen Delchev; Ivan Chavdarov; Roumen Kastelov
Journal:  Proc Inst Mech Eng H       Date:  2020-11-24       Impact factor: 1.617

6.  Telerobotic-assisted bone-drilling system using bilateral control with feed operation scaling and cutting force scaling.

Authors:  Yusuke Kasahara; Hiromasa Kawana; Shin Usuda; Kouhei Ohnishi
Journal:  Int J Med Robot       Date:  2012-01-24       Impact factor: 2.547

  6 in total

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