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A system and method for providing optimal insulin injections to a subject, using a controller, a continuous glucose monitor, and an insulin delivery unit is disclosed. The controller possesses a discrete-time, linear model predictive control law, means for sending information to the insulin delivery unit, and means for receiving information from the CGM. The control law implemented is derived from a discrete-time model of glucose insulin dynamics and an aggressiveness parameter. The result is that using only glucose measurements obtained from sensor readings and, prior values of external insulin infusion and meal and exercise announcement the optimal insulin injection necessary to safely regulate blood glucose can be calculated.

Predictive control based system and method for control of insulin delivery in diabetes using glucose sensing

MAGNI, LALO;DE NICOLAO, GIUSEPPE;RAIMONDO, DAVIDE MARTINO;
2010-01-01

Abstract

A system and method for providing optimal insulin injections to a subject, using a controller, a continuous glucose monitor, and an insulin delivery unit is disclosed. The controller possesses a discrete-time, linear model predictive control law, means for sending information to the insulin delivery unit, and means for receiving information from the CGM. The control law implemented is derived from a discrete-time model of glucose insulin dynamics and an aggressiveness parameter. The result is that using only glucose measurements obtained from sensor readings and, prior values of external insulin infusion and meal and exercise announcement the optimal insulin injection necessary to safely regulate blood glucose can be calculated.
2010
The AI, Robotics & Automatic Control category is concerned with resources on the research and techniques of artificial intelligence; that is, the creation of machines that exhibit characteristics of human intelligence (e.g., efficient representation of knowledge, reasoning, deduction, problem solving, heuristics, and analysis of contradictory or ambiguous information). Related AI technologies include expert systems, fuzzy systems, natural language processing, speech and pattern recognition, computer vision, decision-support systems, knowledge-bases, and neural networks. Robotics resources are concerned with the design, construction, and operation of robots. Automatic Control resources cover the design and development of regulating processes and systems that replace the necessity of human intervention. Topics include adaptive control, robust control, discrete-event control, dynamic control, fuzzy control, and optimal control. Cybernetics resources are concerned with the control and communication within and between artificial (machine) systems and living or natural systems.
US 2010/0262117 A1
University of Virginia Patent Foundation
ELETTRONICO
Inglese
Internazionale
Artificial Pancreas; Glucose Control; Predictive Control
http://www.google.it/patents?hl=it&lr=&vid=USPATAPP12740275&id=wwnYAAAAEBAJ&oi=fnd&dq=patent+autore:%22G+De+Nicolao%22&printsec=abstract#v=onepage&q&f=false
6 Brevetti::6.1 Brevetto
none
Magni, Lalo; DE NICOLAO, Giuseppe; Raimondo, DAVIDE MARTINO; Cobelli, Claudio; Dalla Man, Chiara
info:eu-repo/semantics/patent
285
5
6.1 Brevetto
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/225991
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