A rule-based expert system fusing the neural network for the blood drainage of hemodialysis

Author

Li Nannan ; Cao Hui ; Jia Lixin ; Wang Lu ; Yang Peipei ; Yu Fan

Author_Institution

State Key Lab. of Electr. Insulation & Power Equip., Xi´an Jiaotong Univ., Xi´an, China

fYear

2014

fDate

28-30 July 2014

Firstpage

4989

Lastpage

4992

Abstract

Dialysis is a process for removing the waste and excess water from the blood used for people with renal failure.The existing dialysis machine draws blood directly to the dialyzer, and the flow velocity of blood is difficult to be controlled. This paper proposes a rule-based expert system fusing the neural network method to maintain the stability and the safety of the blood drainage during hemodialysis. The expert system with a rule base is presented for the blood pumps to change the rotating speed in order to keep a proper volume of blood for dialysis. Then, the neural network is combined with the rule-based expert system to analyze the influences of the air bubbles and the pressures in catheters to the speeds of blood pumps. The simulations and the experiments on an actual dialysis sessions are carried out, which verify the hemodynamic stability and the effect of the proposed method.

Keywords

expert systems; haemodynamics; medical computing; neural nets; sensor fusion; air bubbles; blood drainage safety; blood drainage stability; blood flow velocity; blood pumps; dialysis machine; dialyzer; excess water removal; hemodialysis; hemodynamic stability verification; neural network method; renal failure; rule-based expert system; waste removal; Artificial neural networks; Blood; Catheters; Cognition; Expert systems; Liquids; Blood Drainage; Hemodialysis; Neural Network; Rule-based Expert System;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6895786

Filename

6895786