Adaptive Exercise-Enabled Model-Predictive-Control Artificial Pancreas Control Algorithm

Case ID:
2533
Web Published:
8/13/2020
Description:

This is a model-predictive control (MPC) algorithm that provides automated delivery amounts of insulin and, optionally, glucagon to a person with type 1 diabetes using continuous glucose measurements (CGM) sensed from the person’s subcutaneous tissue. Dosing insulin after meals can be challenging and can lead to hyperglycemia or late-term hypoglycemia if the dosing is not done properly.  The MPC algorithm includes a method for automated exercise detection and a means for adjusting insulin and glucagon in the event that an aerobic exercise event is detected and confirmed by a patient. It includes a method for adapting postprandial insulin amounts in response to prior postprandial hypoglycemia episodes.  This method is called “Adaptive Learning Postprandial Hypoglycemia Prevention Algorithm” (ALPHA). The ALPHA algorithm detects hypoglycemia after a meal and automatically adjusts the aggressiveness of insulin dosing after meals to prevent subsequent postprandial hypoglycemia.

Patent Information:
Category(s):
Software
Therapeutics
For Information, Contact:
Michele Gunness
Senior Technology Development Manager
Oregon Health & Science University
(503) 494-8200
gunnessm@ohsu.edu
Inventors:
Peter Jacobs
Joseph Leitschuh
Jessica Castle
Joseph El Youssef
Seyed (Navid) Resalat
Ravi Reddy
Keywords:
Software
Therapeutics
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