Literature DB >> 20180152

In situ and ex vivo evaluation of a wireless magnetoelastic biliary stent monitoring system.

Scott Ryan Green1, Richard S Kwon, Grace H Elta, Yogesh B Gianchandani.   

Abstract

This paper presents the in situ and ex vivo evaluation of a system that wirelessly monitors the accumulation of intimal tissue and sludge in a biliary stent. The sensing element, located within the stent, is a magnetoelastic resonator that is queried by a wireless radio frequency signal. The in situ testing uses a commercially-available self-expanding biliary stent enhanced with a 1 mm x 25 mm magnetoelastic ribbon sensor (formed from Metglas 2605SA1). The stent has a conformal magnetic layer (consisting of strontium ferrite particles suspended in polydimethylsiloxane) that biases the sensor. The external interrogation module is able to acquire a signal from the sensor from a distance of at least 5 cm while the sensor is implanted in a porcine carcass and loaded with biological fluids. The ex vivo testing uses bile harvested from the porcine carcass. The response of a 1 mm x 25 mm magnetoelastic ribbon sensor is first calibrated with fluids of known density and viscosity, and the calibrated sensor is used to estimate that the viscosity of the harvested bile is 2.7-3.7 cP. The test results presented in this paper illustrate the fundamental usability of the system when the sensor is implanted, loaded by biological fluids, and interrogated in a surgical setup.

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Year:  2010        PMID: 20180152     DOI: 10.1007/s10544-010-9404-7

Source DB:  PubMed          Journal:  Biomed Microdevices        ISSN: 1387-2176            Impact factor:   2.838


  2 in total

1.  In vivo and in situ evaluation of a wireless magnetoelastic sensor array for plastic biliary stent monitoring.

Authors:  Scott R Green; Richard S Kwon; Grace H Elta; Yogesh B Gianchandani
Journal:  Biomed Microdevices       Date:  2013-06       Impact factor: 2.838

2.  Enabling Angioplasty-Ready "Smart" Stents to Detect In-Stent Restenosis and Occlusion.

Authors:  Xing Chen; Babak Assadsangabi; York Hsiang; Kenichi Takahata
Journal:  Adv Sci (Weinh)       Date:  2018-02-16       Impact factor: 16.806

  2 in total

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