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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
7
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pubmed:dateCreated |
1999-1-13
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pubmed:abstractText |
To characterize diastolic function from transmitral Doppler data, the image's maximum velocity envelope (MVE) is fit by a model for flow velocity. To reduce the physiologic beat-to-beat variability of best-fit determined model parameters, averaging of multiple cardiac cycles is indicated. To assess variability mathematically, we modeled physiologic noise as a random (normally-distributed) process and evaluated three methods of averaging (1, averaging model parameters from single images; 2, averaging images; and 3, averaging MVEs) using clinical datasets (50 continuous beats from 5 subjects). Method 2 generates a positive bias because low-velocity beats will not contribute to the composite MVE. The difference between Methods 3 and 1 is less than 2.0 E-5 (m/s)2 for uncorrelated model parameters. Input having 10% beat-to-beat variation yields a bias of <4% for model parameter mean. Hence, Method 1 was, in general, more robust than Method 3.
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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 |
Sep
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pubmed:issn |
0301-5629
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
24
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
971-9
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pubmed:dateRevised |
2008-11-21
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pubmed:meshHeading |
pubmed-meshheading:9809631-Blood Flow Velocity,
pubmed-meshheading:9809631-Diastole,
pubmed-meshheading:9809631-Echocardiography, Doppler,
pubmed-meshheading:9809631-Heart Rate,
pubmed-meshheading:9809631-Heart Ventricles,
pubmed-meshheading:9809631-Humans,
pubmed-meshheading:9809631-Image Processing, Computer-Assisted,
pubmed-meshheading:9809631-Mitral Valve,
pubmed-meshheading:9809631-Models, Theoretical,
pubmed-meshheading:9809631-Reference Values,
pubmed-meshheading:9809631-Ventricular Function
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pubmed:year |
1998
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pubmed:articleTitle |
Beat averaging alternatives for transmitral Doppler flow velocity images.
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pubmed:affiliation |
Cardiovascular Division, Washington University School of Medicine, St. Louis, MO 63110, USA.
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, U.S. Gov't, P.H.S.,
Research Support, Non-U.S. Gov't
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