Arney, David
Email Address
ORCID
Disciplines
Search Results
Now showing 1 - 5 of 5
Publication Biomedical Devices and Systems Security(2011-08-01) Arney, David; Venkatasubramanian, Krishna; Sokolsky, Oleg; Lee, InsupMedical devices have been changing in revolutionary ways in recent years. One is in their form-factor. Increasing miniaturization of medical devices has made them wearable, light-weight, and ubiquitous; they are available for continuous care and not restricted to clinical settings. Further, devices are increasingly becoming connected to external entities through both wired and wireless channels. These two developments have tremendous potential to make healthcare accessible to everyone and reduce costs. However, they also provide increased opportunity for technology savvy criminals to exploit them for fun and profit. Consequently, it is essential to consider medical device security issues. In this paper, we focused on the challenges involved in securing networked medical devices. We provide an overview of a generic networked medical device system model, a comprehensive attack and adversary model, and describe some of the challenges present in building security solutions to manage the attacks. Finally, we provide an overview of two areas of research that we believe will be crucial for making medical device system security solutions more viable in the long run: forensic data logging, and building security assurance cases.Publication Model-Based Programming of Modular Robots(2010-05-01) Arney, David; Fischmeister, Sebastian; Lee, Insup; Takashima, Yoshihito; Yim, MarkModular robots are a powerful concept for robotics. A modular robot consists of many individual modules so it can adjust its configuration to the problem. However, the fact that a modular robot consists of many individual modules makes it a highly distributed, highly concurrent real-time system, which are notoriously hard to program. In this work, we present our programming framework for writing control applications for modular robots. The framework includes a toolset that allows a model-based programing approach for control application of modular robots with code generation and verification. The framework is characterized by the following three features. First, it provides a complex programming model that is based on standard finite state machines extended in syntax and semantics to support communication, variables, and actions. Second, the framework provides compositionality at the hardware and at the software level and allows building the modular robot and its control application from small building blocks. And third, the framework supports formal verification of the control application to aid the gait and task developer in identifying problems and bugs before the deployment and testing on the physical robot.Publication Improving Patient Safety With X-Ray and Anesthesia Machine Ventilator Synchronization: A Medical Device Interoperability Case Study(2009-01-14) Arney, David; Goldman, Julian M.; Whitehead, Susan F; Lee, InsupWhen a x-ray image is needed during surgery, clinicians may stop the anesthesia machine ventilator while the exposure is made. If the ventilator is not restarted promptly, the patient may experience severe complications. This paper explores the interconnection of a ventilator and simulated x-ray into a prototype plug-and-play medical device system. This work assists ongoing interoperability framework development standards efforts to develop functional and non-functional requirements and illustrates the potential patient safety benefits of interoperable medical device systems by implementing a solution to a clinical use case requiring interoperability.Publication Prototyping Closed Loop Physiologic Control With the Medical Device Coordination Framework(2010-05-03) King, Andrew; Arney, Dave; Lee, Insup; Sokolsky, Oleg; Hatcliff, John; Procter, SamMedical devices historically have been monolithic units – developed, validated, and approved by regulatory authorities as standalone entities. Despite the fact that modern medical devices increasingly incorporate connectivity mechanisms that enable device data to be streamed to electronic health records and displays that aggregate data from multiple devices, connectivity is not being leveraged to allow an integrated collection of devices to work together as a single system to automate clinical work flows. This is due, in part, to current regulatory policies which prohibit such interactions due to safety concerns. In previous work, we proposed an open source middleware framework and an accompanying model-based development environment that could be used to quickly implement medical device coordination applications – enabling a “systems of systems” paradigm for medical devices. Such a paradigm shows great promise for supporting many applications that increase both the safety and effectiveness of medical care as well as the efficiency of clinical workflows. In this paper, we report on our experience using our Medical Device Coordination Framework (MDCF) to carry out a rapid prototyping of one such application – a multi-device medical system that uses closed loop physiologic control to a affect better patient outcomes for Patient Controlled Anelgesic (PCA) pumps.Publication Formal Methods Based Development of a PCA Infusion Pump Reference Model: Generic Infusion Pump (GIP) Project(2007-06-25) Arney, David; Lee, Insup; Jetley, Raoul; Sokolsky, Oleg; Jones, PaulAs software becomes ever more ubiquitous and complex in medical devices, it becomes increasingly important to assure that it performs safely and effectively. The critical nature of medical devices necessitates that the software used therein be reliable and free of errors. It becomes imperative, therefore, to have a conformance review process in place to ascertain the correctness of the software and to ensure that it meets all requirements and standards. Formal methods have long been suggested as a means to design and develop medical device software. However, most manufacturers shy from using these techniques, citing them as too complex and time consuming. As a result, (potentially life-threatening) errors are often not discovered until a device is already on the market. In this paper we present a safety model based approach to software conformance checking. Safety models enable the application of formal methods to software conformance checking, and provide a framework for rigorous testing. To illustrate the approach, we develop the safety model for a Generic Infusion Pump (GIP), and explain how it can be used to aid software conformance checking in a regulatory environment.