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Autonomous penetration detection for bone cutting tool using demonstration-based learning

date accessioned2020-03-12T20:47:23Z
date available2020-03-12T20:47:23Z
date issued2014
identifier other6906624.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1025547?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAutonomous penetration detection for bone cutting tool using demonstration-based learning
typeConference Paper
contenttypeMetadata Only
identifier padid8150550
subject keywordsBig Data
subject keywordsbiomedical equipment
subject keywordsdata analysis
subject keywordsdecision support systems
subject keywordsfeature extraction
subject keywordsfeature selection
subject keywordshealth care
subject keywordsknowledge acquisition
subject keywordsmedical computing
subject keywordspatient care
subject keywordspatient monitoring
subject keywordssurgery
subject keywordsICU datasets
subject keywordsanalytical tools
subject keywordsbig data handling
subject keywordsbiomedical instrumentation
subject keywordsclinical decisions
subject keywordsdata categorization
subject keywordsdata preprocessing
subject keywordsdata-driven analytics
subject keywordsdata-driven knowledge extraction
subject keywordsdata-driven methodology
subject keywordsdata-driven methods
subject keywordsdata-rich environment
subject keywordsdatabase
subject keywordsfeature extrac
identifier doi10.1109/EMBC.2014.6944578
journal titleobotics and Automation (ICRA), 2014 IEEE International Conference on
filesize1642836
citations0
contributor rawauthorOsa, T. , Abawi, C.F. , Sugita, N. , Chikuda, H. , Sugita, S. , Ito, H. , Moro, T. , Takatori, Y. , Tanaka, S. , Mitsuishi, M.


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