Artificial neural network cardiopulmonary modeling and diagnosis
Patent
·
OSTI ID:541740
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. 12 figs.
- Research Organization:
- Battelle Memorial Institute, Columbus, OH (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC06-76RL01830
- Assignee:
- Battelle Memorial Inst., Richland, WA (United States)
- Patent Number(s):
- US 5,680,866/A/
- Application Number:
- PAN: 8-625,025
- OSTI ID:
- 541740
- Resource Relation:
- Other Information: PBD: 28 Oct 1997
- Country of Publication:
- United States
- Language:
- English
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