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Impedance spectroscopy systems: Review and an all-digital adaptive IIR filtering approach
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 Electrical Engineering and Computer Science (EECS), Electronics, 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.
Keywords [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
Note

QC 20180604

Available from: 2018-04-10 Created: 2018-04-10 Last updated: 2018-06-04Bibliographically approved

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

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Ivanisevic, NikolaRodriguez, SaulRusu, Ana

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