Simulating Insulin Infusion Pump Risks by In-Silico Modeling of the Insulin-Glucose Regulatory System

Sankaranarayanan, Sriram; Fainekos, Georgios

doi:10.1007/978-3-642-33636-2_19

Cited by 26 publications

(25 citation statements)

References 41 publications

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“…Moreover, the trajectory starting at x 0 can be disturbed by any amount |ρ ϕ (x 0 )| without changing its truth value (e.g., if it is correct, the disturbed trajectory is also correct). The robustness of MTL specifications has been used successfully for the verification of automotive systems [6], medical devices [27], and general CPS. The theory behind S-TALIRO can be reviewed in numerous publications, such as [7], while the test generation algorithm is presented in detail in [19] and [1].…”

Section: Specification Guided Testingmentioning

confidence: 99%

Computer-aided design for safe autonomous vehicles

O’Kelly

Abbas

Mangharam

2017

2017 Resilience Week (RWS)

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This paper details the design of an autonomous vehicle CAD toolchain, which captures formal descriptions of driving scenarios in order to develop a safety case for an autonomous vehicle (AV). Rather than focus on a particular component of the AV, like adaptive cruise control, the toolchain models the end-to-end dynamics of the AV in a formal way suitable for testing and verification. First, a domain-specific language capable of describing the scenarios that occur in the day-to-day operation of an AV is defined. The language allows the description and composition of traffic participants, and the specification of formal correctness requirements. A scenario described in this language is an executable that can be processed by a specification-guided automated test generator (bug hunting), and by an exhaustive reachability tool. The toolchain allows the user to exploit and integrate the strengths of both testing and reachability, in a way not possible when each is run alone. Finally, given a particular execution of the scenario that violates the requirements, a visualization tool can display this counter-example and generate labeled sensor data. The effectiveness of the approach is demonstrated on five autonomous driving scenarios drawn from a collection of 36 scenarios that account for over 95% of accidents nationwide. These case studies demonstrate robustness-guided verification heuristics to reduce analysis time, counterexample visualization for identifying controller bugs in both the discrete decision logic and low-level analog (continuous) dynamics, and identification of modeling errors that lead to unrealistic environment behavior. Abstract-This paper details the design of an autonomous vehicle CAD toolchain, which captures formal descriptions of driving scenarios in order to develop a safety case for an autonomous vehicle (AV). Rather than focus on a particular component of the AV, like adaptive cruise control, the toolchain models the end-to-end dynamics of the AV in a formal way suitable for testing and verification. First, a domain-specific language capable of describing the scenarios that occur in the day-to-day operation of an AV is defined. The language allows the description and composition of traffic participants, and the specification of formal correctness requirements. A scenario described in this language is an executable that can be processed by a specification-guided automated test generator (bug hunting), and by an exhaustive reachability tool. The toolchain allows the user to exploit and integrate the strengths of both testing and reachability, in a way not possible when each is run alone. Finally, given a particular execution of the scenario that violates the requirements, a visualization tool can display this counter-example and generate labeled sensor data. The effectiveness of the approach is demonstrated on five autonomous driving scenarios drawn from a collection of 36 scenarios that account for over 95% of accidents nationwide. These case studies demonstrate robustness-guided verif...

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Section: Specification Guided Testingmentioning

confidence: 99%

Computer-aided design for safe autonomous vehicles

O’Kelly

Abbas

Mangharam

2017

2017 Resilience Week (RWS)

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“…the spiral formation) that may lead to the onset of a ventricular fibrillation. Furthermore, risk analysis of glucose infusion pumps is performed with physiological models using statistical model checking in [26], but there is no stochasticity in the models.…”

Section: Related Workmentioning

confidence: 99%

“…Recent technological progress has led to widespread use of software controlled medical devices, for example, cardiac pacemakers [15], GPCA infusion pumps [16], and continuous glucose monitors [26]. Safety and reliability of such devices are of paramount importance, which calls for rigorous software development frameworks.…”

Section: Introductionmentioning

confidence: 99%

Quantitative verification of implantable cardiac pacemakers over hybrid heart models

Chen

Diciolla

Kwiatkowska

et al. 2014

Information and Computation

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We develop a model-based framework which supports approximate quantitative verification of implantable cardiac pacemaker models over hybrid heart models. The framework is based on hybrid input-output automata and can be instantiated with user-specified pacemaker and heart models. For the specifications, we identify two property patterns which are tailored to the verification of pacemakers: "can the pacemaker maintain a normal heart behaviour?" and "what is the energy level of the battery after t time units?". We implement the framework in Simulink based on the discrete-time simulation semantics and endow it with a range of basic and advanced quantitative property checks. The advanced property checks include the correction of pacemaker mediated Tachycardia and how the noise on sensor leads influences the pacing level. We demonstrate the usefulness of the framework for safety assurance of pacemaker software by instantiating it with two hybrid heart models and verifying a number of correctness properties with encouraging experimental results.

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“…S-Taliro was used previously to study insulin infusion pump usage models. Therein, we examined the effect of various types of system failures and user mistakes on the occurrence of hyper-and hypoglycemia [9]. The key difference in this paper is the focus on synthesizing parameters that minimize the overall robustness.…”

Section: A Related Workmentioning

confidence: 99%

A model-based approach to synthesizing insulin infusion pump usage parameters for diabetic patients

Sankaranarayanan

Miller

Raghunathan

et al. 2012

2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

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Abstract-We present a model-based approach to synthesizing insulin infusion pump usage parameters against varying meal scenarios and physiological conditions. Insulin infusion pumps are commonly used by type-1 diabetic patients to control their blood glucose levels. The amounts of insulin to be infused are calculated based on parameters such as insulin-to-carbohydrate ratios and correction factors that need to be calibrated carefully for each patient. Frequent and careful calibration of these parameters is essential for avoiding complications such as hypoglycemia and hyperglycemia.In this paper, we propose to synthesize optimal parameters for meal bolus calculation starting from models of the patient's insulin-glucose regulatory system and the infusion pump. Various off-the-shelf global optimization techniques are used to search for parameter values that minimize a penalty function defined over the predicted glucose sensor readings. The penalty function "rewards" glucose levels that lie within the prescribed ranges and "penalizes" the occurrence of hypoglycemia and hyperglycemia. We evaluate our approach using a model of the insulin-glucose regulatory system proposed by Dalla Man et al. Using this model, we compare various strategies for optimizing pump usage parameters for a virtual population of in-silico patients.

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Simulating Insulin Infusion Pump Risks by In-Silico Modeling of the Insulin-Glucose Regulatory System

Cited by 26 publications

References 41 publications

Computer-aided design for safe autonomous vehicles

Computer-aided design for safe autonomous vehicles

Quantitative verification of implantable cardiac pacemakers over hybrid heart models

A model-based approach to synthesizing insulin infusion pump usage parameters for diabetic patients

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