Artificial neural network cardiopulmonary modeling and diagnosis

Title: Artificial neural network cardiopulmonary modeling and diagnosis

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The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis.

Inventors:

Kangas, Lars J. ^[1]; Keller, Paul E. ^[1]

(Richland, WA)

Issue Date:: 1997-01-01

OSTI Identifier:: 871203

Assignee:: Battelle Memorial Institute (Richland, WA) PNNL

Patent Number(s):: US 5680866

Contract Number:: AC06-76RL01830

Research Org:: Pacific Northwest National Laboratory (PNNL), Richland, WA

Country of Publication:: United States

Language:: English

Subject:: artificial; neural; network; cardiopulmonary; modeling; diagnosis; method; diagnosing; condition; individual; comparing; data; progressive; multi-stage; non-linear; multi-variate; model; preferably; recurrent; sensor; fusion; relies; cardiovascular; developed; physiological; measurements; differences; modeled; parameters; time; artificial neural; neural network; neural net; /600/706/

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