Evaluation of on-line bradycardia boundary detectors from neonatal clinical data.

Evaluation of on-line bradycardia boundary detectors from neonatal clinical data. Research Abstract Details 

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Evaluation of on-line bradycardia boundary detectors from neonatal clinical data. Abstract Text:

Francois Portet,Feng Gao,Jim Hunter,Somayajulu Sripada,Francois Portet,Feng Gao,Jim Hunter,Somayajulu Sripada,

this paper aims at investigating different methods for the detection of the start and end of bradycardias in heart rate signal of premature babies. We present two methods based on a disturbance detector and on a decision tree that are compared to classical thresholding approaches. Decision tree obtained the best detection results (Se=78.2%, PP=68.7%) against the disturbance detector (Se=90.2%, PP=61.3%) and the best thresholding method (Se=92.5%, PP=46.5%). Moreover, the decision tree exhibits better performance for the boundaries estimation (median delay = 7-5 seconds) than the disturbance detector (median delay = 8-5 seconds) with a better stability (STD=8.5 to 8.7s vs. STD=35.3 to 19.9s). These methods will be integrated to the BabyTalk project which aims at summarizing neonatal clinical data as text in order to improve data management in Neonatal ICU.

Evaluation of on-line bradycardia boundary detectors from neonatal clinical data. Publishing Authors By Initials

F Portet,F Gao,J Hunter,S Sripada,F Portet,F Gao,J Hunter,S Sripada,

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Evaluation of on-line bradycardia boundary detectors from neonatal clinical data. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Conference proceedings : ... Annual International

VOLUME: 1

Page Numbers: 3288-91

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ISSN: 1557-170X

DAY: 16

MONTH: 11

YEAR: 2007

Evaluation of on-line bradycardia boundary detectors from neonatal clinical data. Information

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LANGUAGE: eng

NlmUniqueID: 101243413

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AFFILIATION: Department of Computing Science, University of Aberdeen, King's College, Aberdeen AB24 3UE, UK, phone: +44 (0)1224 274173; fax: +44 (0)1224 273422; e-mail: fportet@csd.abdn.ac.uk.

Country: United States

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MEDLINETA: Conf Proc IEEE Eng Med Biol So

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