Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/49140
Title: ICU ventilator modeling via neuro-fuzzy system
Authors: Zhao, Chuxin.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2012
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.
URI: http://hdl.handle.net/10356/49140
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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