A 2.1 μW event-driven wake-up circuit based on a level-crossing ADC for pattern recognition in healthcare
dc.contributor.author
Rovere, Giovanni
dc.contributor.author
Fateh, Schekeb
dc.contributor.author
Benini, Luca
dc.date.accessioned
2019-12-09T17:19:40Z
dc.date.available
2018-07-31T07:55:05Z
dc.date.available
2018-07-31T08:05:50Z
dc.date.available
2019-12-09T17:18:11Z
dc.date.available
2019-12-09T17:19:40Z
dc.date.issued
2018-02
dc.identifier.isbn
978-1-5090-5803-7
en_US
dc.identifier.isbn
978-1-5090-5802-0
en_US
dc.identifier.isbn
978-1-5090-5804-4
en_US
dc.identifier.other
10.1109/BIOCAS.2017.8325145
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/279546
dc.identifier.doi
10.3929/ethz-b-000219481
dc.description.abstract
We report an asynchronous wake-up circuit with
pattern recognition capabilities to duty-cycle biomedical systemon-
chips in internet-of-things healthcare applications. The wakeup
circuit is based on a level-crossing analog-to-digital converter
to reduce both the number of samples and processing power.
On-chip voltage references lower the overall system power consumption
and reduce the number of external components. The
circuit is highly configurable and can be used for a wide variety
of applications. A 130nm CMOS prototype is demonstrated
with pathological electrocardiogram with premature ventricular
contractions, reaching 74:8% of accuracy with only 2:1 W at
1V supply.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
A 2.1 μW event-driven wake-up circuit based on a level-crossing ADC for pattern recognition in healthcare
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2018-03-29
ethz.book.title
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)
en_US
ethz.pages.start
8325145
en_US
ethz.size
4 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
13th IEEE Biomedical Circuits and Systems Conference (BioCAS 2017)
en_US
ethz.event.location
Torino, Italy
en_US
ethz.event.date
October 19-21, 2017
en_US
ethz.grant
Transient Computing Systems
en_US
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
ethz.grant.agreementno
157048
ethz.grant.agreementno
157048
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projekte MINT
ethz.date.deposited
2017-12-08T19:22:27Z
ethz.source
FORM
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-07-31T07:55:09Z
ethz.rosetta.lastUpdated
2022-03-29T00:27:33Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/219481
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/278663
ethz.COinS
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