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Cyber-Physical Medical and Medication Systems

Authors: Albert M.K. Cheng;

Cyber-Physical Medical and Medication Systems

Abstract

Medical and medication devices are real-time systems with safety and timing requirements. They range from hard-real-time, embedded, and reactive systems such as pacemakers to soft-real-time, stand-alone medication dispensers. Many of these devices are already connected to computer networks, especially in hospital intensive-care units, so that patients' conditions detected by sensors can be monitored in real-time at remote computer stations nearby or at other sites. However, remote adjustment of medical devices' output and actuation is typically not allowed due to safety concerns. This article discusses a number of issues such as verification that must be resolved in order to allow cyber-physical operation of medical devices. In particular, we propose using formal methods, self-stabilization, and (m,k)-firm scheduling to allow the safe cyber-physical operation of a medical ventilator, a life-critical reactive device to move breathable air into and out of the lungs of a patient with respiratory difficulties, with the ultimate goal of speeding-up the recovery of the patient.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
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