Two Way Crossover Closed Loop Study MPC vs FMPD

NACompletedINTERVENTIONAL
Enrollment

25

Participants

Timeline

Start Date

February 23, 2021

Primary Completion Date

March 10, 2022

Study Completion Date

March 10, 2022

Conditions
Type 1 Diabetes
Interventions
DEVICE

FMPD AP algorithm

The Fading Memory Proportional Derivative (FMPD) insulin infusion algorithm determines insulin delivery rates based on proportional error, defined as the difference between the current CGM level and the target CGM level, and the derivative error, defined as the rate of change of the CGM. The FMPD algorithm utilizes derivative and proportional glucose errors to determine delivery rates of insulin.

DEVICE

MPC AP 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 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

Dexcom G6 Continuous Glucose Monitoring (CGM) System

The Dexcom G6 CGM measures interstitial glucose through a sensor transmitter. This glucose value is reported to the MPC algorithm during this intervention.

Trial Locations (1)

97239

Oregon Health and Science University, Portland

Sponsors
All Listed Sponsors
collaborator

Juvenile Diabetes Research Foundation

OTHER

collaborator

The Leona M. and Harry B. Helmsley Charitable Trust

OTHER

lead

Oregon Health and Science University

OTHER