Name
Abstract | ||
|---|---|---|
This paper proposes the utilisation of fuzzy logic so as to design a system which models the biological regulator of blood glucose. That system consists of several fuzzy relations, each one of them modeling a component of the biological glycemia regulator, that is, pancreatic insulin production, net hepatic glucose balance, insulin dependent and independent glucose uptake, and kidney function. A set of experiments has been carried out by means of a simulation of the proposed model, checking that fuzzy control provides good results for the studied cases. The system could be a basis for developing artificial glycemia control mechanisms to be applied as a therapy for different pathologies, as well as for the development of simulators and monitors to aid diagnosis. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-25929-9_106 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
fuzzy logic,kidney function,model checking,fuzzy control | Logic synthesis,Regulator,Glucose uptake,Model checking,Computer science,Control theory,Fuzzy logic,Fuzzy control system,Insulin,Fuzzy rule | Conference |
Volume | ISSN | Citations |
3066 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Luis Sánchez-Romero | 1 | 35 | 7.57 |
| Francisco Javier Ferrández Pastor | 2 | 66 | 7.60 |
| Antonio Soriano Payá | 3 | 20 | 7.01 |
| Juan Manuel García-Chamizo | 4 | 72 | 8.98 |