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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 Date | 1995 Jul 01 |
OSTI Identifier | OSTI ID: 100215; Legacy ID: DE95016808 |
Report Number(s) | PNL-SA--26102; CONF-9507155--1 |
DOE Contract Number | AC06-76RL01830 |
Other Number(s) | Other: ON: DE95016808 |
Resource Type | Conference |
Resource Relation | Conference: World congress on neural networks conference, Washington, DC (United States), 17-21 Jul 1995; Other Information: PBD: Jul 1995 |
Research Org | Pacific Northwest Lab., Richland, WA (United States) |
Sponsoring Org | USDOE, Washington, DC (United States) |
Subject | 55 BIOLOGY AND MEDICINE, BASIC STUDIES ;99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; CARDIOVASCULAR SYSTEM; MATHEMATICAL MODELS; DIAGNOSTIC USES; NEURAL NETWORKS |
Description/Abstract | A 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 Publication | United States |
Language | English |
Format | Medium: P; Size: 5 p. |
Availability | OSTI as DE95016808 To purchase this media from NTIS, click here |
System Entry Date | 2008 Feb 04 |
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