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Dynamics of translational friction in needle-tissue interaction during needle insertion
Ali Asadian1, Rajni V Patel, Mehrdad R Kermani
1Canadian Surgical Technologies and Advanced Robotics (CSTAR), Lawson Health Research Institute, London, ON, Canada, aasadian@uwo.ca.
Annals of Biomedical Engineering
|August 22, 2013
Summary
This study introduces a new distributed model to accurately represent dynamic friction during soft tissue needle insertion. The approach improves understanding of friction
Area of Science:
- Robotics and Biomechanics
- Medical Device Engineering
- Soft Tissue Mechanics
Background:
- Friction is a complex, nonlinear phenomenon crucial in needle-tissue interaction.
- Classical friction models inadequately capture dynamics during needle insertion.
- Translational friction is significant for flexible needles or stop-and-rotate motions.
Purpose of the Study:
- To present a distributed approach for modeling dynamic friction in soft tissue needle insertion.
- To adopt a distributed LuGre model for characterizing friction components.
- To enable intra-operative estimation of cutting force.
Main Methods:
- Utilized a distributed version of the LuGre model in state-space representation.
- Developed and evaluated a novel family of friction models.
- Conducted experimental validation on artificial phantoms and animal tissue.
Main Results:
- The proposed models effectively represent key features of friction during needle insertion.
- Demonstrated the capability to capture dynamic friction phenomena.
- Showcased the potential for intra-operative cutting force estimation.
Conclusions:
- The distributed friction model accurately characterizes needle-tissue interaction forces.
- This approach enhances understanding and modeling of friction in medical interventions.
- The method offers a pathway for improved surgical tool control and feedback.
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