A framework for the safe interoperability of medical devices in the presence of network failures

Kim, Cheol Gi; Sun, Mu; Mohan, Sibin; Yun, Heechul; Sha, Lui; Abdelzaher, Tarek

doi:10.1145/1795194.1795215

Cited by 44 publications

(47 citation statements)

References 16 publications

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“…Real medical devices exhibit continuous time behavior, and the ability to capture real-time behavior is critical if we want to apply our approach to real medical systems. For example, the ondemand medical systems described in [3,26,18] all rely on`timeout' behavior in the medical devices to guarantee system safety in the presence of inter-device communications failures. Additionally, many medical devices exhibit continuous behavior in terms of their interactions with the patient.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A Modal Specification Approach for On-Demand Medical Systems

King

Sokolsky

et al. 2014

Foundations of Health Information Engineering and Systems

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The on-demand approach, where systems are assembled from components by lay users, has seen success in the consumer electronics industry. Currently, there is growing demand for on-demand capabilities in medical systems so caregivers can create larger medical systems from smaller medical devices. Unlike consumer electronics, medical systems pose challenges for the on-demand approach due to attributes such as device complexity, device variability and safety requirements. In this paper, we propose a formal specification language for on-demand (medical) systems. Our approach is based on the formalism of Modal I/O Automata, which allows system designers to express complex device requirements and can be used to reason about safety and liveness properties of on-demand medical systems directly from their specifications. We illustrate the applicability of our approach through a case study of a closed-loop patient controlled analgesia system. we propose a formal speci cation language for on-demand (medical) systems. Our approach is based on the formalism of Modal I/O Automata, which allows system designers to express complex device requirements and can be used to reason about safety and liveness properties of ondemand medical systems directly from their speci cations. We illustrate the applicability of our approach through a case study of a closed-loop patient controlled analgesia system.

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Section: Conclusion and Discussionmentioning

confidence: 99%

A Modal Specification Approach for On-Demand Medical Systems

King

Sokolsky

et al. 2014

Foundations of Health Information Engineering and Systems

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“…In this section, we shall use laser tracheotomy, a representative MDPnP application [7][10], as the context to discuss the proper hybrid systems modeling approach for MDPnP. We shall see through this case study why offline model checking must be replaced by online model checking.…”

Section: Hybrid Systems Modeling Approachmentioning

confidence: 99%

“…Offline hybrid automaton of Patient. Though good offline models forȮ 2 exists [7], the offline model forṠpO 2 is still an open problem. Also note that in location Hold (which corresponds to ventilator Hold), the patient still exhale due to chest weight.…”

Section: Fig 2 Offline Hybrid Automaton Of Ventilatormentioning

confidence: 99%

“…However, this faces a major challenge: in most MDPnP CPS, there are no good offline models to describe the complex biochemical system of the patient [6]. Even if some vital signs can be modeled offline, the models may not (with some exceptions [7]) fit into existing hybrid systems model checking tools, which mainly use linear differential equations to describe the physical world.…”

Section: Introductionmentioning

confidence: 99%

“…In the rest of the paper, we discuss our proposed co-design approach through the context of laser tracheotomy, a representative MDPnP application [7] [10]. Section 2 introduces the background on hybrid systems model checking; Section 3 proposes our online hybrid systems modeling approach; Section 4 proposes the corresponding system design patterns; Section 5 evaluates our approach; Section 6 further examines our proposal under relaxed assumptions; Section 7 discusses related work; and Section 8 concludes the paper.…”

Section: Introductionmentioning

confidence: 99%

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From Offline toward Real-Time: A Hybrid Systems Model Checking and CPS Co-design Approach for Medical Device Plug-and-Play (MDPnP)

Tan

Wang

et al. 2012

2012 IEEE/ACM Third International Conference on Cyber-Physical Systems

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Abstract-Hybrid systems model checking is a great success in guaranteeing the safety of computerized control cyber-physical systems (CPS). However, when applying hybrid systems model checking to Medical Device Plug-and-Play (MDPnP) CPS, we encounter two challenges due to the complexity of human body: i) there are no good offline differential equation based models for many human body parameters; ii) the complexity of human body can result in many variables, complicating the system model. In an attempt to address the challenges, we propose to alter the traditional approach of offline hybrid systems model checking of time-unbounded (i.e., infinite-horizon, a.k.a., long-run) future behavior to online hybrid systems model checking of time-bounded (i.e., finite-horizon, a.k.a., short-run) future behavior. According to this proposal, online model checking runs as a real-time task to prevent faults. To meet the real-time requirements, certain design patterns must be followed, which brings up the co-design issue. We propose two sets of system co-design patterns for hard real-time and soft real-time respectively. To evaluate our proposals, a case study on laser tracheotomy MDPnP is carried out. The study shows the necessity of online model checking. Furthermore, test results based on real-world human subject trace show the feasibility and effectiveness of our proposed co-design.

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A comprehensive survey on modeling of cyber‐physical systems

Graja

Kallel

Guermouche

et al. 2018

Concurrency and Computation

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SummaryModeling Cyber‐physical systems (CPS) is a challenging step that requires a lot of background from both the cyber and physical fields. However, there is a lack of studies in the existing literature that discuss the state of the art in modeling CPS or explore the research gaps in this area. In this paper, we survey existing approaches to modeling CPS. We focus on studying the considered CPS properties. Based on this study, we classify these properties and discuss their importance in different application domains. Moreover, research directions are presented to address key challenges in the specification of CPS models.

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A framework for the safe interoperability of medical devices in the presence of network failures

Cited by 44 publications

References 16 publications

A Modal Specification Approach for On-Demand Medical Systems

A Modal Specification Approach for On-Demand Medical Systems

From Offline toward Real-Time: A Hybrid Systems Model Checking and CPS Co-design Approach for Medical Device Plug-and-Play (MDPnP)

A comprehensive survey on modeling of cyber‐physical systems

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