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

https://hdl.handle.net/10536/DRO/DU:30119028
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posted on 2024-06-06, 08:10 authored by KI Al-Abdullah, Chee Peng Lim, Zoran NajdovskiZoran Najdovski, W Yassin

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

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1.
DOI - Is version of https://doi.org/10.1002/rcs.1989

Location

England

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Journal

International Journal of Medical Robotics and Computer Assisted Surgery

Volume

15

Article number

e1989

Pagination

1 - 16

ISSN

1478-5951

eISSN

1478-596X

Issue

3

Publisher

WILEY

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Categories

Clinical sciences not elsewhere classified

Keywords

Science & Technology Life Sciences & Biomedicine Surgery artificial neural network modelling bone density force sensing robotic bone milling state identification AUTOMATIC IDENTIFICATION BREAKTHROUGH DETECTION DRILLING FAULTS TOOL RECOGNITION DENSITY PENETRATION PERFORMANCE STAPEDOTOMY ALGORITHM 3202 Clinical sciences

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