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Building An Open-source Robotic Stereotaxic Instrument
Published on: October 29, 2013
Design and performance study of an orthopaedic surgery robotized module for automatic bone drilling
George Boiadjiev1, Rumen Kastelov, Tony Boiadjiev
1Institute of Mechanics, Bulgarian Academy of Sciences, Acad. G. Bonchev St., Bl. 4, 1113, Sofia, Bulgaria.
Summary
Automated bone drilling enhances surgical accuracy and patient safety by precisely controlling parameters like force and temperature, overcoming manual drilling limitations. This technology offers a user-friendly solution for orthopaedic procedures.
Area of Science:
- Orthopaedic surgery
- Robotics in medicine
- Biomechanical engineering
Background:
- Manual drilling in orthopaedics presents challenges including accuracy issues, risk to blood vessels, and bone overheating.
- Automated drilling systems are recommended to mitigate these risks and reduce human error.
Purpose of the Study:
- To investigate and identify key technical parameters influencing the bone drilling process.
- To experimentally evaluate bone resistance force and temperature during automated drilling.
Main Methods:
- Monitoring drilling parameters: time, linear and angular velocity, resistance force, penetration depth, and temperature.
- Experimental identification of technical drilling parameters and bone resistance force.
- Utilizing an experimental setup to analyze drilling dynamics.
Main Results:
- Achieved drilling accuracy with an error of less than 0.2 mm.
- Maintained bone temperature within tolerable limits during the drilling process.
- Presented experimental data on drilling velocities, bit diameters, penetration depths, resistance force, and temperature over time.
Conclusions:
- Automated bone drilling effectively resolves issues associated with manual techniques, enhancing patient safety.
- The developed experimental setup allows for precise identification of bone drilling parameters, including resistance force and mechanical torque.
- The robotic system is user-friendly, offering real-time data collection and simplified task setting for orthopaedic surgeons.
