Date of this Version
Sanjian Chen, Matthew O'Kelly, James Weimer, Oleg Sokolsky, and Insup Lee, "An Intraoperative Glucose Control Benchmark for Formal Verification", 5th IFAC conference on Analysis and Design of Hybrid Systems (ADHS 2015) . October 2015.
Diabetes associated complications are affecting an increasingly large population of hospitalized patients. Since glucose physiology is significantly impacted by patient-specific parameters, it is critical to verify that a clinical glucose control protocol is safe across a wide patient population. A safe protocol should not drive the glucose level into dangerous low (hypoglycemia) or high (hyperglycemia) ranges. Verification of glucose controllers is challenging due to the high-dimensional, non-linear glucose physiological models which contain both unobservable states and unmeasurable patient-specific parameters. This paper presents a hybrid system model of a closed-loop physiological system that includes an existing FDA-accepted high-fidelity physiological model tailored to intraoperative settings and a validated improvement to a clinical glucose control protocol for diabetic cardiac surgery patients. We propose the closed-loop model as a physiological system benchmark for verification and present our initial results on verifying the system using the SMT-based hybrid system verification tool dReach.
5th IFAC conference on Analysis and Design of Hybrid Systems (ADHS 2015)
Formal verification, Medical applications, Safety analysis, Closed-loop Controllers
Date Posted: 03 November 2015
This document has been peer reviewed.