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A Robotic Flexible Drill and Its Navigation System for Total Hip Arthroplasty

Overview of attention for article published in Annals of Biomedical Engineering, November 2017
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Title
A Robotic Flexible Drill and Its Navigation System for Total Hip Arthroplasty
Published in
Annals of Biomedical Engineering, November 2017
DOI 10.1007/s10439-017-1959-5
Pubmed ID
Authors

Ahmad Nazmi Bin Ahmad Fuad, Hariprashanth Elangovan, Kamal Deep, Wei Yao

Abstract

This paper presents a robotic flexible drill and its navigation system for total hip arthroplasty (THA). The new robotic system provides an unprecedented and unique capability to perform curved femoral milling under the guidance of a multimodality navigation system. The robotic system consists of three components. Firstly, a flexible drill manipulator comprises multiple rigid segments that act as a sheath to a flexible shaft with a drill/burr attached to the end. The second part of the robotic system is a hybrid tracking system that consists of an optical tracking system and a position tracking system. Optical tracking units are used to track the surgical objects and tools outside the drilling area, while a rotary encoder placed at each joint of the sheath is synchronized to provide the position information for the flexible manipulator with its virtual object. Finally, the flexible drill is integrated into a computer-aided navigation system. The navigation system provides real time guidance to a surgeon during the procedure. The flexible drill system is then able to implement THA by bone milling. The final section of this paper is an evaluation of the flexible and steerable drill and its navigation system for femoral bone milling in sawbones.

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The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 4 12%
Student > Bachelor 3 9%
Researcher 3 9%
Student > Postgraduate 2 6%
Other 5 15%
Unknown 8 24%
Readers by discipline Count As %
Engineering 13 39%
Medicine and Dentistry 9 27%
Nursing and Health Professions 1 3%
Unknown 10 30%