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Impedance spectroscopy systems: Review and an all-digital adaptive IIR filtering approach
KTH, School of Information and Communication Technology (ICT), Integrated Devices and Circuits. KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.ORCID iD: 0000-0002-9862-8255
KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
KTH, School of Information and Communication Technology (ICT), Integrated Devices and Circuits.ORCID iD: 0000-0003-3802-7834
2017 (English)In: 2017 IEEE Biomedical Circuits and Systems Conference, Turin, October 19-21, 2017, Turin, Italy, 2017Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Impedance spectroscopy is a low-cost sensing technique that is generating considerable interest in wearable and implantable biomedical applications since it can be efficiently integrated on a single microchip. In this paper, the fundamental characteristics of the most well-known system architectures are presented, and a more robust and hardware-efficient solution is proposed. An all-digital implementation based on adaptive filtering is used for identifying the impedance parameters of a sample-under-test. The coefficients of an infinite-impulse-response (IIR) filter are tuned by an adaptive algorithm based on pseudo-linear regression and output-error formulation. A three-level pseudorandom noise generator with a concave power spectral density is employed without deteriorating the nominal performance. Proof-of-concept has been verified with behavioral simulations.

Place, publisher, year, edition, pages
Turin, Italy, 2017.
Keyword [en]
Adaptive algorithms, Clocks, Frequency measurement, Impedance, Impedance measurement, Spectroscopy, Systems architecture
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-225867DOI: 10.1109/BIOCAS.2017.8325148ISBN: 978-1-5090-5803-7 (electronic)OAI: oai:DiVA.org:kth-225867DiVA, id: diva2:1196678
Conference
2017 IEEE Biomedical Circuits and Systems Conference
Funder
Swedish Research Council
Available from: 2018-04-10 Created: 2018-04-10 Last updated: 2018-04-10

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Publisher's full texthttps://ieeexplore.ieee.org/document/8325148/

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Rodriguez, Saul

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Language
  • de-DE
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Output format
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