TY - GEN
T1 - Vibration analysis in robot-driven glenoid reaming procedure
AU - Faieghi, Mohammadreza
AU - Atashzar, S. Farokh
AU - Sharma, Mayank
AU - Tutunea-Fatan, O. Remus
AU - Eagleson, Roy
AU - Ferreira, Louis M.
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported by the Natural Sciences and Engineering Research Council (NSERC) of Canada and the Canadian Institutes of Health Research (CIHR) under the Collaborative Health Research Projects program.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Glenoid reaming is a challenging bone machining operation performed in shoulder joint replacement surgery and represents a suitable target for further developments in haptic surgery simulation. Tool vibration is an important mode of feedback for surgeons to perform glenoid reaming, and thus it is quintessential to be included in virtual replications of this operation. However, there is currently little known about the characteristics of vibrations in glenoid reaming and how it can be reproduced in haptic simulations. To address this, the current study presents an empirical investigation of glenoid reaming vibrations using robot-driven experiments on human cadaveric glenoids. Time- and frequency-domain characteristics of vibration signals obtained from the experiments are analyzed. The power of the vibration signals are predicted as a function of feed force and bone density and the dominant frequencies are identified. The obtained results serve as an important step towards the development of haptic simulators for upper limb orthopedic procedures.
AB - Glenoid reaming is a challenging bone machining operation performed in shoulder joint replacement surgery and represents a suitable target for further developments in haptic surgery simulation. Tool vibration is an important mode of feedback for surgeons to perform glenoid reaming, and thus it is quintessential to be included in virtual replications of this operation. However, there is currently little known about the characteristics of vibrations in glenoid reaming and how it can be reproduced in haptic simulations. To address this, the current study presents an empirical investigation of glenoid reaming vibrations using robot-driven experiments on human cadaveric glenoids. Time- and frequency-domain characteristics of vibration signals obtained from the experiments are analyzed. The power of the vibration signals are predicted as a function of feed force and bone density and the dominant frequencies are identified. The obtained results serve as an important step towards the development of haptic simulators for upper limb orthopedic procedures.
KW - Haptics
KW - Orthopedic Surgery
KW - Robotic Assisted Surgery
KW - Surgery Simulation
KW - Vibrotactile Feedback
UR - http://www.scopus.com/inward/record.url?scp=85089875596&partnerID=8YFLogxK
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U2 - 10.1109/AIM43001.2020.9158836
DO - 10.1109/AIM43001.2020.9158836
M3 - Conference contribution
AN - SCOPUS:85089875596
T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
SP - 741
EP - 746
BT - 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
Y2 - 6 July 2020 through 9 July 2020
ER -