A platform for implantable medical device validation: demo abstract

  • Authors:
  • Zhihao Jiang;Miroslav Pajic;Allison Connolly;Sanjay Dixit;Rahul Mangharam

  • Affiliations:
  • University of Pennsylvania;University of Pennsylvania;Johns Hopkins University;Hospital of the Univ. of Penn.;University of Pennsylvania

  • Venue:
  • WH '10 Wireless Health 2010
  • Year:
  • 2010

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Abstract

We present the design of an integrated modeling platform to investigate efficient methodologies for certifying medical device software. The outcome of this research has the potential to expedite medical device software certification for safer operation. Our specific focus in this study is on our ongoing research in artificial pacemaker software. Designing bug-free medical device software is difficult, especially in complex implantable devices that may be used in unanticipated contexts. In the 20-year period from 1985 to 2005, the US Food and Drug Administration's (FDA) Maude database records almost 30,000 deaths and almost 600,000 injuries from device failures [1]. There is currently no formal methodology or open experimental platform to validate and verify the correct operation of medical device software. To this effect, a real-time Virtual Heart Model (VHM) has been developed to model the electrophysiological operation of the functioning (i.e. during normal sinus rhythm) and malfunctioning (i.e. during arrhythmia) heart. We present a methodology to extract timing properties of the heart to construct a timed-automata model. The platform exposes functional and formal interfaces for validation and verification of implantable cardiac devices. We demonstrate the VHM is capable of generating clinically-relevant response to intrinsic (i.e. premature stimuli) and external (i.e. artificial pacemaker) signals for a variety of common arrhythmias. By connecting the VHM with a pacemaker model, we are able to pace and synchronize the heart during the onset of irregular heart rhythms. The VHM has been implemented on a hardware platform for closed-loop experimentation with existing and virtual medical devices.