| Title: | Fuzzy Logic Control for Dialysis Application. In: A.T Azar (ed.), Biofeedback Systems and Soft Computing Techniques of Dialysis, Springer-Verlag GmbH Berlin/Heidelberg, Vol. 405, pp 1181-1222. DOI: 10.1007/978-3-642-27558-6_9. |
| Authors: | Giove S, Azar AT, Nordio M |
| Year: | 2013 |
| Keywords: | Not Available |
| Journal: | Not Available |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | Not Available |
| Local/International: | International |
| Paper Link: | |
| Full paper | Not Available |
| Supplementary materials | Not Available |
| Abstract: |
This chapter introduces the fuzzy control approach for a dialysis session. Due to the complexity of the human system, the classical control methods, like PID, can fail to reach the target, mainly for what it concerns the stabilization of the system, which can induce sudden and undesired hypotensive collapses. To this purpose, a heuristic strategy based on expert rules, as fuzzy logic control, can help to reach the desired performances, reducing undesired collateral effects and increasing the potentiality of the dialysis session. |
