Linked Life Data

21095675

Source:http://linkedlifedata.com/resource/pubmed/id/21095675

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2010-11-24
pubmed:abstractText
Identification, analysis, and treatment of potential risk in surgical workflow are the key to decrease medical errors in operating room. For the automatic analysis of recorded surgical information, this study reports multichannel audio visual recording system, and its review and analysis system. Motion in operating room is quantified using video file size without motion tracking. Conversation among surgical staff is quantified using fast Fourier transformation and frequency filter without speech recognition. The results suggested the progression phase of surgical procedure.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
2010
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1190-3
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Intraoperative multichannel audio-visual information recording and automatic surgical phase and incident detection.
pubmed:affiliation
Institute of Advanced Biomedical Engineering and Sciences, Tokyo Women's Medical University, 8-1, Shinjuku, 162-8666, Japan. takashi_suzuki@abmes.twmu.ac.jp
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't