A model-based bone milling state identification method via force sensing for a robotic surgical system.

Kais I Al-Abdullah Chee Peng Lim Zoran Najdovski Wisam Yassin

Published in: The international journal of medical robotics + computer assisted surgery : MRCAS (2019)

The significance of the proposed method is that it can be used to discriminate a set of different bone density layers for a range of the milling feed rate and spindle speed.

Keyphrases

bone mineral density
soft tissue
bone loss
bone regeneration
minimally invasive
postmenopausal women
body composition
robot assisted
bioinformatics analysis