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Artificial neural network cardiopulmonary modeling and diagnosis

United States Patent

5,680,866
October 28, 1997
View the Complete Patent at the US Patent & Trademark Office
Pacific Northwest National Laboratory - Visit the Technology Commercialization Program Website
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.
Kangas; Lars J. (Richland, WA), Keller; Paul E. (Richland, WA)
Battelle Memorial Institute (Richland, WA)
08/ 625,025
March 29, 1996
This invention was made with Government support under Contract DE-AC06-76RLO 1830 awarded by the U.S. Department of Energy. The Government has certain rights in the invention.