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Activity Number:
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280
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #303858 |
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Title:
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Marking the Ends of T-Waves: Algorithms and Experts
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Author(s):
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Yingchun Zhou*+ and Nell Sedransk
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Companies:
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National Institute of Statistical Sciences and National Institute of Statistical Sciences
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Address:
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19 Alexander Drive, Research Triangle Park, NC, 27709,
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Keywords:
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ECG T-wave ; QT interval ; Bayesian algorithm ; cardiac safety
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Abstract:
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Prolongation of QT interval on electrocardiogram (ECG) is the current measure for cardiac safety used in drug development and drug approval. Pharmaceutical companies rely on software selection and then expert marking to determine the QT interval from thousands of beats. Not only is this costly, but selected beats of data also show that the difference between two experts' marks can exceed the tolerance level for beat differences that affect whether a drug gets approved or not. A Bayesian approach combines slope and curvature information for the (asymmetric) T-wave. The difference between these Bayesian marks and either of the experts' marks is not statistically larger than the difference between two experts' marks. Thus this approach succeeds in closely approximating experts' results in marking the T-wave end; it is fast, cost efficient, and consistent.
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