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dc.contributor.author
Luciani, Giulia
dc.contributor.author
Crescentini, Marco
dc.contributor.author
Romani, Aldo
dc.contributor.author
Chiani, Marco
dc.contributor.author
Benini, Luca
dc.contributor.author
Tartagni, Marco
dc.date.accessioned
2021-02-17T09:06:51Z
dc.date.available
2021-02-02T07:56:54Z
dc.date.available
2021-02-17T09:06:51Z
dc.date.issued
2021
dc.identifier.issn
0018-9456
dc.identifier.issn
1557-9662
dc.identifier.other
10.1109/TIM.2020.3040482
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/467195
dc.description.abstract
This article presents the digital design of a versatile and low-power broadband impedance spectroscopy (IS) system based on the pseudorandom binary sequence (PRBS) excitation. The PRBS technique allows fast and low-power estimation of the impedance spectrum over a wide bandwidth with adequate accuracy, proving to be a good candidate for portable medical devices, especially. This article covers the low-power design of the firmware algorithms and implements them on a versatile and reconfigurable digital platform that can be easily adjusted to the specific application. It will analyze the digital platform with the aim of reducing power consumption while maintaining adequate accuracy of the estimated spectrum. This article studies two main algorithms (time-domain and frequency-domain) used for PRBS-based IS and implements both of them on the ultralow- power GAP-8 digital platform. They are compared in terms of accuracy, measurement time, and power budget, while the general design tradeoffs are drawn out. The time-domain algorithm demonstrated the best accuracy, while the frequency-domain one contributes more to save power and energy. However, the analysis of the energy-per-error FOM revealed that the time-domain algorithm outperforms the frequency-domain algorithm, offering better accuracy for the same energy consumption. Numerical methods and microprocessor resources are exploited to optimize the implementation of both algorithms, achieving a 27-ms processing time, the power consumption of as low as 1.4 mW, and a minimum energy consumption per measurement of 0.5 mJ, for a dense impedance spectrum estimation of 214 points.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Bioimpedance
en_US
dc.subject
digital signal processing
en_US
dc.subject
digital system
en_US
dc.subject
impedance measurement
en_US
dc.subject
impedance spectroscopy (IS)
en_US
dc.subject
Internet of Things
en_US
dc.subject
low-energy
en_US
dc.subject
pseudorandom binary sequence (PRBS)
en_US
dc.title
Energy-Efficient PRBS Impedance Spectroscopy on a Digital Versatile Platform
en_US
dc.type
Journal Article
dc.date.published
2020-11-25
ethz.journal.title
IEEE Transactions on Instrumentation and Measurement
ethz.journal.volume
70
en_US
ethz.journal.abbreviated
IEEE trans. instrum. meas
ethz.pages.start
6501912
en_US
ethz.size
12 p.
en_US
ethz.identifier.wos
ethz.publication.place
New York, NY
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::03996 - Benini, Luca / Benini, Luca
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.date.deposited
2021-02-02T07:56:58Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-02-17T09:07:02Z
ethz.rosetta.lastUpdated
2022-03-29T05:15:34Z
ethz.rosetta.versionExported
true
ethz.COinS
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