Systems and methods for predicting characteristics of an artificial heart using an artificial neural network
US8880450B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 26, 2011 |
| Grant date | Nov 4, 2014 |
| Priority date | — |
| Expiry date | Nov 23, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system configured to predict characteristics of an artificial heart is described. The system includes a processor and memory in electronic communication with the processor, and an artificial neural network configured to receive an input vector of a predetermined length to train the artificial neural network, produce an output vector based on the input vector, and compare the output vector with a target vector of the predetermined length. When the output vector does not match the target vector within a predetermined error rate, the network is configured to adjust at least one weight, and when the output vector matches the target vector within the predetermined error rate, the network is configured to execute the input vector to produce an estimate at least one characteristic of the artificial heart.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.