Artificial neural network cardiopulmonary modeling and diagnosis

Surgery – Truss – Pad

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128670, 128668, 395 23, A61B 50205

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active

056808666

ABSTRACT:
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.

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patent: 5590665 (1997-01-01), Kanai
Cardiovascular Diagnostics, Technology Brief, 94-11-1.

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