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Allison Connolly

dblp:93/8068 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 50% Electronic design automation · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
cyber-physical systems
0.112010
A platform for implantable medical device validation · IPSN 2010
Electronic design automation › hardware verification and test
formal verification
0.112010
A platform for implantable medical device validation · IPSN 2010
Embedded and real-time systems
medical device
0.112010
A platform for implantable medical device validation · IPSN 2010
Electronic design automation › hardware verification and test › formal verification
timed automata
0.112010
A platform for implantable medical device validation · IPSN 2010
Medical and health informatics
cardiac electrophysiology
0.012010
A platform for implantable medical device validation · IPSN 2010

Methods — techniques the papers use, named apart from their topics

timed-automata model · 0.2hardware-in-the-loop simulation · 0.2
YearPublicationVenuePosition
2010 Real-Time Heart Model for Implantable Cardiac Device Validation and Verification
abstract
Designing bug-free medical device software is challenging, especially in complex implantable devices that may be used in unanticipated contexts. Safety recalls of pacemakers and implantable cardioverter defibrillators due to firmware problems between 1990 and 2000 affected over 200, 000 devices. This encompasses 41% of the devices recalled and continues to increase in frequency. 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 construct a timed-automata model by extracting timing properties of the heart. The platform employs 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 also been implemented on a hardware platform for closed-loop experimentation with existing and virtual medical devices. This integrated functional and formal device design approach has potential to help expedite medical device certification for safe operation.
Zhihao Jiang 0001, Miroslav Pajic, Allison Connolly, Sanjay Dixit, Rahul Mangharam
ECRTS3
2010 A platform for implantable medical device validation
abstract
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 [8]. 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. The VHM allows for exploratory electrophysiology studies for physicians to evaluate their diagnosis and determine the appropriate device therapy. This integrated functional and formal device design approach will potentially help expedite medical device certification for safer operation.
Miroslav Pajic, Zhihao Jiang 0001, Allison Connolly, Sanjay Dixit, Rahul Mangharam
IPSN3