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Bone Collision Detection Method for Robot Assisted Fracture Reduction Based on Vibration Excitation by Chenxu Cai; Xuran Zheng; Mingyang Shi; Jianping Bi; Qinhe Zhang is a Medicine article available to read on EtoBox.

What is Bone Collision Detection Method for Robot Assisted Fracture Reduction Based on Vibration Excitation about?

Background and objective In the process of robotic fracture reduction, there is a risk of unintended collision of broken bones, which is not conducive to ensuring the safety of the reduction system. In order to solve this problem, this paper proposed a vibration-based collision detection method for fracture reduction process. Methods Based on the two degree-of-freedom vibration response model, the factors affecting the respond of the vibration, including the excitation voltage, the clamping length at the proximal and distal ends, the mass and tensile force of the soft tissue, were obtained. The effects of these factors on the vibration transfer performance of broken bones and soft tissue were investigated by single factor experiments. Results The results showed that, in terms of peak value, the increase of excitation voltage would make the vibration amplitude increase linearly, and the increase of soft tissue mass and tension increased the vibration transmission capacity of soft tissue in the frequency range of 500–1000 Hz. In terms of peak frequency, the clamping length at the distal end had the greatest influence, which reached 74 Hz, followed by 45 Hz at the proximal end. While

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Author

Chenxu Cai; Xuran Zheng; Mingyang Shi; Jianping Bi; Qinhe Zhang

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Medicine (Physical Sciences)