Skip to Main content Skip to Navigation
Conference papers

Implantable Sensor System for Remote Detection of a Restenosis Condition

Abstract : The increase of life expectancy in the European Union, and the high risk of cardiovascular diseases associated with age, are some of the main factors to contribute to the rise of healthcare costs. An intelligent stent (e-stent), capable of obtaining and transmitting real-time measurements of physiological parameters for its clinical consultation, can be a useful tool for long-term monitoring, diagnostic, and early warning system for arterial blockage without patient hospitalization. In this paper, a behavioural model of capacitive Micro-Electro-Mechanical (MEMS) pressure sensor is proposed and simulated under several restenosis conditions. Special attention has been given to the need of an accurate fault model, obtained from realistic finite-element simulations,to ensure long-term reliability; particularly for those faults whose behavior cannot be easily described by an analytical model.
Document type :
Conference papers
Complete list of metadatas

Cited literature [12 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01348747
Contributor : Hal Ifip <>
Submitted on : Monday, July 25, 2016 - 4:22:35 PM
Last modification on : Monday, July 25, 2016 - 4:46:20 PM

File

978-3-642-37291-9_18_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

J. Miguel, Y. Lechuga, R. Mozuelos, M. Martínez. Implantable Sensor System for Remote Detection of a Restenosis Condition. 4th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2013, Costa de Caparica, Portugal. pp.164-171, ⟨10.1007/978-3-642-37291-9_18⟩. ⟨hal-01348747⟩

Share

Metrics