ICU ventilator modeling via neuro-fuzzy system

Abstract

Fuzzy Neural Network has been widely used for software in planning, control and decision making. Meanwhile, expert systems have been implemented for medical diagnosis and medical treatment devices including life-critical devices such as medical ventilator. About 87% of ventilator-related deaths and injuries are caused by human error due to inadequate orientation or training process for the operating staff. This paper examined the possibility of modeling medical ventilator with R-POPTVR fuzzy neural network, and provided a flexible software implementation for R-POPTVR architecture.