Two Way Crossover Closed Loop Study R-AP vs MPC

NACompletedINTERVENTIONAL
Enrollment

15

Participants

Timeline

Start Date

December 8, 2021

Primary Completion Date

March 3, 2022

Study Completion Date

March 3, 2022

Conditions
Type 1 Diabetes
Interventions
DEVICE

MPC AP algorithm

The Model Predictive Control (MPC) insulin infusion algorithm contains a model within the controller that takes as an input the aerobic metabolic expenditure in addition to the CGM and meal inputs. The algorithm uses heart rate and accelerometer data collected on the patient's body to calculate metabolic expenditure. The metabolic expenditure then acts on the model for the insulin dynamics, whereby more energy expenditure and longer duration exercise can lead to a more substantial effect of insulin on the CGM.

DEVICE

Robust R-AP algorithm

The R-AP is a modified MPC algorithm. A new feature in the algorithm includes a model for missed meal insulin detection. The model includes estimations for carbohydrate consumption based glucose patterns to determine if that person has consumed a meal without announcing it to the system.

Trial Locations (1)

97239

Oregon Health and Science University, Portland

All Listed Sponsors
collaborator

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

NIH

lead

Oregon Health and Science University

OTHER