Artificial neural network cardiopulmonary modeling and diagnosis
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. 12 figs.
- Inventors:
- Issue Date:
- Research Org.:
- Battelle Memorial Institute, Columbus, OH (United States)
- Sponsoring Org.:
- USDOE, Washington, DC (United States)
- OSTI Identifier:
- 541740
- Patent Number(s):
- 5680866
- Application Number:
- PAN: 8-625,025
- Assignee:
- Battelle Memorial Inst., Richland, WA (United States)
- DOE Contract Number:
- AC06-76RL01830
- Resource Type:
- Patent
- Resource Relation:
- Other Information: PBD: 28 Oct 1997
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 55 BIOLOGY AND MEDICINE, BASIC STUDIES; CARDIOVASCULAR DISEASES; NEURAL NETWORKS; DIAGNOSTIC TECHNIQUES; DIAGNOSIS; MULTIVARIATE ANALYSIS; MEDICINE
Citation Formats
Kangas, L J, and Keller, P E. Artificial neural network cardiopulmonary modeling and diagnosis. United States: N. p., 1997.
Web.
Kangas, L J, & Keller, P E. Artificial neural network cardiopulmonary modeling and diagnosis. United States.
Kangas, L J, and Keller, P E. Tue .
"Artificial neural network cardiopulmonary modeling and diagnosis". United States.
@article{osti_541740,
title = {Artificial neural network cardiopulmonary modeling and diagnosis},
author = {Kangas, L J and Keller, P E},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Oct 28 00:00:00 EST 1997},
month = {Tue Oct 28 00:00:00 EST 1997}
}
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