Hypoglycemia Early Alarm Systems Based on Multivariable Models

Author:

Turksoy Kamuran1,Bayrak Elif S.2,Quinn Lauretta3,Littlejohn Elizabeth4,Rollins Derrick5,Cinar Ali12

Affiliation:

1. Department of Biomedical Engineering, Illinois Institute of Technology, 3255 South Dearborn Street, Chicago, Illinois 60616, United States

2. Department of Chemical and Biological Engineering, Illinois Institute of Technology, 10 West 33rd Street, Chicago, Illinois 60616, United States

3. College of Nursing, University of Illinois at Chicago, 845 South Damen Avenue MC 802, Chicago, Illinois 60612, United States

4. Department of Pediatrics and Medicine, Section of Endocrinology, Biological Sciences Division, University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, United States

5. Department of Chemical and Biological Engineering, Iowa State University, Ames, Iowa 50011, United States

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference37 articles.

1. National Estimates and General Information on Diabetes and Prediabetes in the United States, 2011.Centers for Disease Control and Prevention, National Diabetes Fact Sheet;US Department of Health and Human Services:Atlanta, GA, 2011

2. Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension

3. Preventing Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension

4. Usage and Effectiveness of the Low Glucose Suspend Feature of the Medtronic Paradigm Veo Insulin Pump

5. Inpatient Studies of a Kalman-Filter-Based Predictive Pump Shutoff Algorithm

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