Automatic identification of otological drilling faults: an intelligent recognition algorithm

Background This article presents an intelligent recognition algorithm that can recognize milling states of the otological drill by fusing multi‐sensor information. Methods An otological drill was modified by the addition of sensors. The algorithm was designed according to features of the milling pro...

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Bibliographic Details
Published in:	The international journal of medical robotics + computer assisted surgery Vol. 6; no. 2; pp. 231 - 238
Main Authors:	Cao, Tianyang, Li, Xisheng, Gao, Zhiqiang, Feng, Guodong, Shen, Peng
Format:	Journal Article
Language:	English
Published:	Chichester, UK John Wiley & Sons, Ltd 01.06.2010
Subjects:	adaptive filter Adaptive filters Algorithms Animals characteristic curve Drilling Faults Filtering Intelligence Interference multi-sensor information fusion otological drill Recognition Scapula - surgery Software Surgery Swine
ISSN:	1478-5951, 1478-596X, 1478-596X
Online Access:	Get full text
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