Closed Loop Context Aware AID

NARecruitingINTERVENTIONAL
Enrollment

10

Participants

Timeline

Start Date

November 22, 2024

Primary Completion Date

July 30, 2025

Study Completion Date

August 30, 2025

Conditions
Type 1 Diabetes
Interventions
DEVICE

iPancreas automated insulin delivery system

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 in puts. The algorithm uses heart rate and accelerometer data collected on the patient's body to calculate metabolic expenditure (METs). The METs 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. The MPC also has missed meal insulin bolus detection where the system will calculate the amount of insulin that was missed for a meal. The missed meal boluses can be delivered automatically without any input from the user. This feature can also be disabled. The MPC has a new feature called hyperglycemia pattern detection and dosing algorithm that will analyze problem patterns associated with high blood sugar and automatically calculate and deliver a correction dose.

Trial Locations (1)

97239

RECRUITING

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