A Study to Evaluate a Multiple Model Probabilistic Predictive Controller (MMPPC) for Closed Loop Insulin Delivery
NCT01492062 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL
Last updated 2015-04-02
Summary
You are invited to participate in a research study for the development of an artificial pancreas. An artificial pancreas uses a program which takes information from a continuous blood glucose monitor and uses that information to tell an insulin infusion pump how much insulin to deliver. The primary purpose of this study is to gain experience with insulin delivery algorithms or programs program (algorithm) provides the best regulation of glucose levels so that there are no severe low blood glucose reactions and blood glucose levels are generally between 70 to 180 mg/dl.
Conditions
- Type 1 Diabetes Mellitus
Interventions
- DEVICE
-
Multiple Model Predictive Controller
Use of closed loop algorithm in an inpatient environment while closely monitoring blood glucose levels.
Sponsors & Collaborators
- lead OTHER
Principal Investigators
-
Bruce A. Buckingham · Stanford University
Study Design
- Allocation
- NA
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 21 Years
- Max Age
- 45 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2011-02-28
- Primary Completion
- 2013-11-30
- Completion
- 2013-11-30
Countries
- United States
Study Locations
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