Artificial neural network cardiopulmonary modeling and diagnosis
US5680866A · kind A · utility
96Cited by
7References
13Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Mar 29, 1996 |
| Grant date | Oct 28, 1997 |
| Priority date | — |
| Expiry date | Mar 29, 2016 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/924
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.