<div class="csl-bib-body">
<div class="csl-entry">Schneider, M., Santasusagna, J., Magnet, I. A. M., & Schmid, U. (2022). Ex vivo Blood Viscosity Monitoring with Piezoelectric MEMS Resonators. In <i>2022 IEEE Sensors</i> (pp. 1–4). IEEE. https://doi.org/10.1109/SENSORS52175.2022.9967277</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/139960
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dc.description.abstract
This exploratory work demonstrates the
potential of plate-type piezoelectric MEMS resonators for
measuring the dynamic viscosity of human blood. These
micromachined silicon sensors are operated in roof-tile
shaped vibrational modes, featuring high quality factors in
liquids. The quality factor of the 17 vibrational mode is used
in combination with a sensor calibration procedure which is
based on viscosity standards to monitor this fluidic material
parameter. We demonstrate, that the MEMS sensor can
provide real-time viscosity data over extended periods of
time, which may be of high interest in cardiovascular
medicine and medical applications such as extracorporal
membrane oxygenation (ECMO).
en
dc.language.iso
en
-
dc.subject
PiezoMEMS
en
dc.subject
Viscosity sensor
en
dc.subject
Human blood
en
dc.subject
Resonator
en
dc.title
Ex vivo Blood Viscosity Monitoring with Piezoelectric MEMS Resonators
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
TU Wien, Austria
-
dc.contributor.affiliation
Medical University of Vienna, Austria
-
dc.relation.isbn
978-1-6654-8464-0
-
dc.relation.issn
1930-0395
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dc.description.startpage
1
-
dc.description.endpage
4
-
dcterms.dateSubmitted
2022
-
dc.rights.holder
IEEE
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
2022 IEEE Sensors
-
tuw.peerreviewed
true
-
tuw.relation.publisher
IEEE
-
tuw.researchTopic.id
I8
-
tuw.researchTopic.name
Sensor Systems
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E366-02 - Forschungsbereich Mikrosystemtechnik
-
tuw.publisher.doi
10.1109/SENSORS52175.2022.9967277
-
dc.description.numberOfPages
4
-
tuw.author.orcid
0000-0001-9846-7132
-
tuw.author.orcid
0000-0002-7577-9712
-
tuw.event.name
IEEE Sensors 2022
en
tuw.event.startdate
30-10-2022
-
tuw.event.enddate
02-11-2022
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Dallas
-
tuw.event.country
US
-
tuw.event.institution
IEEE
-
tuw.event.presenter
Schneider, Michael
-
tuw.event.track
Multi Track
-
wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
-
wb.sciencebranch.oefos
2020
-
wb.sciencebranch.value
100
-
item.cerifentitytype
Publications
-
item.languageiso639-1
en
-
item.fulltext
no Fulltext
-
item.openairetype
conference paper
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.grantfulltext
restricted
-
crisitem.author.dept
E366-02 - Forschungsbereich Mikrosystemtechnik
-
crisitem.author.dept
TU Wien
-
crisitem.author.dept
Medical University of Vienna
-
crisitem.author.dept
E366 - Institut für Sensor- und Aktuatorsysteme
-
crisitem.author.orcid
0000-0001-9846-7132
-
crisitem.author.orcid
0000-0002-7577-9712
-
crisitem.author.parentorg
E366 - Institut für Sensor- und Aktuatorsysteme
-
crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik
