Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas.

ABSTRACT:

Objective

To evaluate two widely used control algorithms for an artificial pancreas (AP) under nonideal but comparable clinical conditions.

Research design and methods

After a pilot safety and feasibility study (n = 10), closed-loop control (CLC) was evaluated in a randomized, crossover trial of 20 additional adults with type 1 diabetes. Personalized model predictive control (MPC) and proportional integral derivative (PID) algorithms were compared in supervised 27.5-h CLC sessions. Challenges included overnight control after a 65-g dinner, response to a 50-g breakfast, and response to an unannounced 65-g lunch. Boluses of announced dinner and breakfast meals were given at mealtime. The primary outcome was time in glucose range 70-180 mg/dL.

Results

Mean time in range

SUBMITTER: Pinsker JE 

PROVIDER: S-EPMC4915560 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature