Abstract
The integration of minimally invasive robotic assistance and image-guidance can have positive impact on joint fracture surgery, providing a better clinical outcome with respect to the current open procedure. In this paper, a new design of the RAFS surgical system is presented. The redesign of the robotic system and its integration with a novel 3D navigation system through a new clinical workflow, overcomes the drawbacks of the earlier prototype. This makes the RAFS surgical system more suitable to clinical scenarios in the operating theatre. System accuracy and effectiveness are successfully demonstrated through laboratory trials and preliminary cadaveric trials. The experimental results demonstrate that the system allows the surgeon to reduce a 2-fragment distal femur fracture in a cadaveric specimen, with a reduction accuracy of up to 0.85 mm and 2.2°. Preliminary cadaveric trials also provided a positive and favorable outcome pointing to the usability and safety of the RAFS system in the operating theatre, potentially enhancing the capacity of joint fracture surgeries.
Original language | English |
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Title of host publication | ICRA 2017 - IEEE International Conference on Robotics and Automation |
Publisher | IEEE |
Pages | 1754-1759 |
Number of pages | 6 |
ISBN (Electronic) | 9781509046331 |
DOIs | |
Publication status | Published - 21 Jul 2017 |
Event | 2017 IEEE International Conference on Robotics and Automation, ICRA 2017 - Singapore, Singapore Duration: 29 May 2017 → 3 Jun 2017 |
Publication series
Name | Proceedings - IEEE International Conference on Robotics and Automation |
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ISSN (Print) | 1050-4729 |
Conference
Conference | 2017 IEEE International Conference on Robotics and Automation, ICRA 2017 |
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Country/Territory | Singapore |
City | Singapore |
Period | 29/05/17 → 3/06/17 |
Funding
G. Dagnino*, I. Georgilas, S. Morad, P. Gibbons, and S. Dogramadzi are with the Bristol Robotics Laboratory, Coldharbour Lane, Frenchay, BS16 1QY, Bristol, United Kingdom (*corresponding author, phone: +44-0117-32-86375; email: [email protected]). P. Tarassoli and R. Atkins are with the University Hospitals Bristol, UK. This is a summary of independent research funded by the National Institute for Health Research (NIHR)'s Invention for Innovation (i4i) Programme. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering