Automated control of blood glucose in the OR and surgical ICU.
A device which integrates existing intravenous continuous glucose monitors and infusion pumps into a central hub for automated intravenous intensive insulin therapy, targeting non-diabetic critically-ill patients is presented. Additionally, a fuzzy logic based controller that is capable of automatically making closed-loop decisions to achieve tight glycemic control between a euglycemic range of 90 to 120 mg/dl is presented. Initial bench top testing shows a significant improvement in glycemic control with fuzzy logic control when compared to manual infusion protocols currently used in hospitals; future animal testing will be performed to verify these results in vivo.
Hsu
Jason J
JJ
Johns Hopkins University Department of Biomedical Engineering and The Johns Hopkins Bayview Medical Center Department of Surgery, Baltimore, MD 21218, USA. jason.hsu@jhu.edu
Wang
Joseph I
JI
Lee
Amy
A
Li
Daniel Y
DY
Chen
Charlotte H
CH
Huang
Stephanie
S
Liu
Alex
A
Yoon
Bo-Kyung
BK
Kim
Sang-Keun
SK
Tsai
Tsung-Jui
TJ
D001331:Automation; D001698:Biomedical Engineering; D001774:Blood Chemical Analysis / Q000379:methods*; D001786:Blood Glucose / Q000032:analysis / Q000378:metabolism*; D020000:Decision Support Systems, Clinical; D017143:Fuzzy Logic; D006801:Humans; D006943:Hyperglycemia / Q000097:blood / Q000188:drug therapy; D007004:Hypoglycemic Agents / Q000008:administration & dosage; D007328:Insulin / Q000008:administration & dosage; D007332:Insulin Infusion Systems; D007362:Intensive Care Units; D008991:Monitoring, Physiologic / Q000379:methods*; D009873:Operating Rooms
D001786:Blood Glucose; D007004:Hypoglycemic Agents; D007328:Insulin