Modeling and integrating physical environment assumptions in medical cyber-physical system design

Zhicheng Fu, Chunhui Guo, Shangping Ren, Yu Jiang, Lui Raymond Sha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Implicit physical environment assumptions made by safety critical cyber-physical systems, such as medical cyber-physical systems (M-CPS), can lead to catastrophes. Several recent U.S. Food and Drug Administration (FDA) medical device recalls are due to implicit physical environment assumptions. In this paper, we develop a mathematical assumption model and composition rules that allow M-CPS engineers to explicitly and precisely specify assumptions about the physical environment in which the designed M-CPS operates. Algorithms are developed to integrate the mathematical assumption model with system model so that the safety of the system can be not only validated by both medical and engineering professionals but also formally verified by existing formal verification tools. We use an FDA recalled medical ventilator scenario as a case study to show how the mathematical assumption model and its integration in M-CPS design may improve the safety of the ventilator and M-CPS in general.

Original languageEnglish (US)
Title of host publicationProceedings of the 2017 Design, Automation and Test in Europe, DATE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1615-1618
Number of pages4
ISBN (Electronic)9783981537093
DOIs
StatePublished - May 11 2017
Event20th Design, Automation and Test in Europe, DATE 2017 - Swisstech, Lausanne, Switzerland
Duration: Mar 27 2017Mar 31 2017

Publication series

NameProceedings of the 2017 Design, Automation and Test in Europe, DATE 2017

Other

Other20th Design, Automation and Test in Europe, DATE 2017
CountrySwitzerland
CitySwisstech, Lausanne
Period3/27/173/31/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

Fingerprint Dive into the research topics of 'Modeling and integrating physical environment assumptions in medical cyber-physical system design'. Together they form a unique fingerprint.

  • Cite this

    Fu, Z., Guo, C., Ren, S., Jiang, Y., & Sha, L. R. (2017). Modeling and integrating physical environment assumptions in medical cyber-physical system design. In Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017 (pp. 1615-1618). [7927249] (Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/DATE.2017.7927249