Source:http://linkedlifedata.com/resource/pubmed/id/19770082
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
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pubmed:dateCreated |
2010-1-21
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pubmed:abstractText |
Mastoidectomy is a core surgical procedure in otologic surgery. It is believed that the procedure is performed by different surgeons with some variability. However, it is also believed that all surgeons use a finite number of fundamental surgical actions to complete the procedure. To determine how a surgeon performs a mastoidectomy, we sought to identify the fundamental surgical actions [called action primitives (APs)] and determine the transition boundaries among those APs. Our motivation for this paper is both to delineate the APs necessary to complete a mastoidectomy and to optimize and potentially automate the surgical process. In this paper, we present a new approach to developing methods for parsing raw data (position and orientation of the surgical tool and end-effector force) into a sequence of surgical tasks. The overall objective is to de-construct the surgical procedure into a series of APs. This paper presents results from our initial investigation on detecting transition boundaries and identifying APs involved in mastoidectomy.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Feb
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pubmed:issn |
1558-2531
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:volume |
57
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
479-87
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pubmed:meshHeading |
pubmed-meshheading:19770082-Algorithms,
pubmed-meshheading:19770082-Humans,
pubmed-meshheading:19770082-Image Processing, Computer-Assisted,
pubmed-meshheading:19770082-Mastoid,
pubmed-meshheading:19770082-Reproducibility of Results,
pubmed-meshheading:19770082-Surgery, Computer-Assisted,
pubmed-meshheading:19770082-Surgical Procedures, Operative
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pubmed:year |
2010
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pubmed:articleTitle |
A step toward identification of surgical actions in mastoidectomy.
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pubmed:affiliation |
Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235-1592, USA. uttama.lahiri@vanderbilt.edu
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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