A novel approach to modeling and diagnosing the cardiovascular system

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Description

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 ... continued below

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5 p.

Creation Information

Keller, P.E.; Kangas, L.J.; Hashem, S.; Kouzes, R.T. & Allen, P.A. July 1, 1995.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Pacific Northwest Laboratory
    Publisher Info: Pacific Northwest Lab., Richland, WA (United States)
    Place of Publication: Richland, Washington

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Description

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.

Physical Description

5 p.

Notes

OSTI as DE95016808

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  • World congress on neural networks conference, Washington, DC (United States), 17-21 Jul 1995

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  • Other: DE95016808
  • Report No.: PNL-SA--26102
  • Report No.: CONF-9507155--1
  • Grant Number: AC06-76RL01830
  • Office of Scientific & Technical Information Report Number: 100215
  • Archival Resource Key: ark:/67531/metadc628308

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Creation Date

  • July 1, 1995

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • April 7, 2016, 2:59 p.m.

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Keller, P.E.; Kangas, L.J.; Hashem, S.; Kouzes, R.T. & Allen, P.A. A novel approach to modeling and diagnosing the cardiovascular system, article, July 1, 1995; Richland, Washington. (digital.library.unt.edu/ark:/67531/metadc628308/: accessed August 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.