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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Veröffentlicht in:	The international journal of medical robotics + computer assisted surgery Jg. 6; H. 2; S. 231 - 238
Hauptverfasser:	Cao, Tianyang, Li, Xisheng, Gao, Zhiqiang, Feng, Guodong, Shen, Peng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Chichester, UK John Wiley & Sons, Ltd 01.06.2010
Schlagworte:	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-Zugang:	Volltext
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