Novel capacitive MEMS sensor for monitoring in-stent restenosis

Mubasher Iqbal, Saad Sultan, Mohammad A. Qasaimeh

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

Abstract

Cardiovascular is a disorder of the heart and its blood vessels that causes millions of deaths around the world. Implanting stent in patient's artery is a typical procedure of treatment. However, a major problem associated with stents is the buildup of plaque/fatty acids deposits, a condition known as in-stent restenosis. Therefore, one of the preventive solutions is the development of 'smart' stents that contain pressure sensors for monitoring stent blockage at early stages. Such sensors need to be associated with high sensitivity for early detection of flow abnormalities within the stent. Here, we propose several capacitive pressure sensor plate designs and analyze their sensitivities. Our results show that a square-shaped plate with straight slots on its edges can drastically improve sensitivity. Several analyses were carried out to optimize dimensions of the proposed design for monitoring in-stent restenosis.

Original languageEnglish (US)
Title of host publication2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages368-371
Number of pages4
Volume2019
ISBN (Electronic)9781538613115
DOIs
StatePublished - Jul 2019
Event41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany
Duration: Jul 23 2019Jul 27 2019

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
ISSN (Print)2375-7477

Conference

Conference41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Country/TerritoryGermany
CityBerlin
Period7/23/197/27/19

Keywords

  • Constriction, Pathologic
  • Coronary Restenosis
  • Humans
  • Micro-Electrical-Mechanical Systems
  • Stents

ASJC Scopus subject areas

  • Signal Processing
  • Health Informatics
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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