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|a E 1.99:ucrl-id--114802
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|a E 1.99:ucrl-id--114802
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|a Detection of ̀̀single-leg separated̀̀ heart valves using statistical pattern recognition with the nearest neighbor classifier
|h [electronic resource]
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|a Washington, D.C. :
|b United States. Dept. of Energy ;
|a Oak Ridge, Tenn. :
|b distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy,
|c 1993.
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|a 45 p. :
|b digital, PDF file.
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|a text
|b txt
|2 rdacontent.
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|a computer
|b c
|2 rdamedia.
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|a online resource
|b cr
|2 rdacarrier.
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|a Published through the Information Bridge: DOE Scientific and Technical Information.
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|a 07/16/1993.
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|a "ucrl-id--114802"
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|a "DE93018911"
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|a Thomas, G.H.; Clark, G.A.; Candy, J.V.; Buhl, M.R.
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|a Topical;
|b 07/01/1993.
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|a The goal of this work was to detect ̀̀single-leg separated̀̀ Bjoerk-Shiley Convexo-Concave heart valves which had been implanted in sheep. A ̀̀single-leg separated̀̀ heart valve contains a fracture in the outlet strut resulting in an increased risk of mechanical failure. The approach presented in this report detects such fractures by applying statistical pattern recognition with the nearest neighbor classifier to the acoustic signatures of the valve opening. This approach is discussed and results of applying it to real data are given.
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|b W-7405-ENG-48.
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|a Heart Failure.
|2 local.
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|a Failures.
|2 local.
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|a Pattern Recognition.
|2 local.
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|a Detection.
|2 local.
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|a Valves.
|2 local.
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650 |
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|a Statistics.
|2 local.
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|a Radiology And Nuclear Medicine.
|2 edbsc.
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|a Lawrence Livermore National Laboratory.
|4 res.
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|a United States.
|b Department of Energy.
|4 spn.
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|a United States.
|b Department of Energy.
|b Office of Scientific and Technical Information.
|4 dst.
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|u http://www.osti.gov/servlets/purl/10177333-QJrvNi/
|z Online Access
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|a .b59507287
|b 03-06-23
|c 05-25-10
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|b 05-25-10
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|a University of Colorado Boulder
|b Online
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|d Online
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|h Superintendent of Documents classification
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