2014
DOI: 10.1016/j.ic.2014.01.014
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Quantitative verification of implantable cardiac pacemakers over hybrid heart models

Abstract: 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?". … Show more

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Cited by 39 publications
(75 citation statements)
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“…Works in quantitative verification, such as [44] and [45], model the heart and pacemaker to verify statistically or through simulations whether some quantitative properties are satisfied. This contrasts with our approach which is model-free, and provides cost upper bounds based on the QRE code itself, not a model of it.…”
Section: Related Workmentioning
confidence: 99%
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“…Works in quantitative verification, such as [44] and [45], model the heart and pacemaker to verify statistically or through simulations whether some quantitative properties are satisfied. This contrasts with our approach which is model-free, and provides cost upper bounds based on the QRE code itself, not a model of it.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, the implantable pacemaker has been used to illustrate the benefits of model-based design [11], [12], [13]. This involves specifying the algorithms for detecting slower-than-normal rhythms used by pacemakers using formal modeling languages, such as timed automata [14] and hybrid automata [15], and verifying correctness requirements using a model checker such as UPPAAL [16].…”
Section: Introductionmentioning
confidence: 99%
“…As the complexity of the pacemakers increase, there is a need for the development of better processes for validation of such medical devices. R heart model reported in [3], which was foundational in developing the benchmark 2 Indicate as appropriate: category (academic, industrial), difficulty (low, medium, high, challenge)…”
Section: Context and Originsmentioning
confidence: 99%
“…For analytical purposes, an abstract model based on Timed Automata (TA) consisting of a network of 33 nodes (or cells) has used for testing off-the-shelf pacemakers [6]. A more refined approach that models the continuous voltage using Hybrid Input Output Automata (HIOA) is presented in [3]. In both cases, the abstraction from two trillion cell to 33 nodes is not discussed in the literature.…”
Section: Introductionmentioning
confidence: 99%
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