A Cutter Vibration Signal Processing-Based State Monitoring Method for Improving Operation Safety of Spinal Automatic Drilling System
Author:
Affiliation:
1. College of Artificial Intelligence, Nankai University, Tianjin, China
2. Viterbi School of Engineering, University of Southern California at Los Angeles, Los Angeles, CA, USA
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8920/10617442/10462316.pdf?arnumber=10462316
Reference21 articles.
1. Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling
2. Pedicle drilling force control of a robotic surgical system via spine-soft tissue coupling model and parameters optimization
3. Mechanical model of orthopaedic drilling for augmented-haptics-based training;Pourkand;Comput. Biol. Med.,2017
4. Hand-Held Bone Cutting Tool With Autonomous Penetration Detection for Spinal Surgery
5. Spine surgical robotics: review of the current application and disadvantages for future perspectives
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