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Title A novel approach to modeling and diagnosing the cardiovascular system
Creator/Author Keller, P.E. ; Kangas, L.J. ; Hashem, S. ; Kouzes, R.T. [Pacific Northwest Lab., Richland, WA (United States)] ; Allen, P.A. [Life Link, Richland, WA (United States)]
Publication Date1995 Jul 01
OSTI IdentifierOSTI ID: 100215; Legacy ID: DE95016808
Report Number(s)PNL-SA--26102; CONF-9507155--1
DOE Contract NumberAC06-76RL01830
Other Number(s)Other: ON: DE95016808
Resource TypeConference
Resource RelationConference: World congress on neural networks conference, Washington, DC (United States), 17-21 Jul 1995; Other Information: PBD: Jul 1995
Research OrgPacific Northwest Lab., Richland, WA (United States)
Sponsoring OrgUSDOE, Washington, DC (United States)
Subject55 BIOLOGY AND MEDICINE, BASIC STUDIES ;99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; CARDIOVASCULAR SYSTEM; MATHEMATICAL MODELS; DIAGNOSTIC USES; NEURAL NETWORKS
Description/AbstractA novel approach to modeling and diagnosing the cardiovascular system is introduced. A model exhibits a subset of the dynamics of the cardiovascular behavior of an individual by using a recurrent artificial neural network. Potentially, a model will be incorporated into a cardiovascular diagnostic system. This approach is unique in that each cardiovascular model is developed from physiological measurements of an individual. Any differences between the modeled variables and the variables of an individual at a given time are used for diagnosis. This approach also exploits sensor fusion to optimize the utilization of biomedical sensors. The advantage of sensor fusion has been demonstrated in applications including control and diagnostics of mechanical and chemical processes.
Country of PublicationUnited States
LanguageEnglish
FormatMedium: P; Size: 5 p.
Availability OSTI as DE95016808
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System Entry Date2008 Feb 04
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