ARTICFICIAL NEURAL NETWORK CARDIOPULMONARY MODELING AND DIAGNOSIS

Patent №

US 5,680,866

Granted

1997-10-28

Filed 1996

Owner

BATTELLE MEMORIAL INSTITUTE K1-53

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08625025

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.

Machine learningPlanningAI hardwareG16H 15/00G16H 50/20G16H 10/60Y10S 706/924

AI classification

Machine learning1.00
Planning1.00
AI hardware0.90
Evolutionary computation0.35
Natural language0.11
Knowledge representation0.08
Vision0.02
Speech0.01

Ownership

BATTELLE MEMORIAL INSTITUTE K1-53

assignment · 79340121

Assignors

KELLER, PE, KANGAS, LJ

On an employer assignment, the assignors are typically the inventors.

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