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Copyright (c) 2020 Proceedings on Automation in Medical Engineering
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Orthopaedic surgery failures due to incorrect screw torqueing are costly and dangerous. Determining bone material properties by monitoring the screwing process may lead to more accurate torque limit estimations. A model was developed relating applied torque to screw rotation. This model was tested with simulated parameter identification to ensure robustness and identifiability. A Monte-Carlo analysis with randomised signal noise (n=100) proved model identifiability and robustness, and showed close agreement of identified parameters with parent model values. Due to model simplicity and lack of experimental verification, this model will serve as a basis for future development of more advanced models.