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A framework for high-resolution frequency response measurement and parameter estimation in microscale impedance applications
Universidad Nacional Autónoma de México. (Instituto de Ciencias Aplicadas y Tecnología)
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.ORCID iD: 0000-0002-6322-7857
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.
Vrije Universiteit Brussel. (Department ELEC)
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2019 (English)In: Measurement, ISSN 0263-2241, Vol. 148, article id 106913Article in journal (Refereed) Published
Abstract [en]

Electrical impedance spectroscopy (EIS) is a tool for characterizing the electrical behavior of matter. Nevertheless, most of the work is focused on purely experimental results, leading aside alternative measurement and estimation techniques. In this paper, we introduce a framework for spectral measurements and parameter estimation applied to EIS. There are two methods in the proposal running independently: frequency response function based non-parametric estimation, and parametric recursive estimation. The former provides consistent estimates even in the presence of noise and works with batches of data. Whilst the latter gives consistent parametric estimates under the right model structure. The proposed platform is designed around a reconfigurable device, which comprises minimal hardware design and digital signal processing. We test the system with a multisine signal by measuring calibration circuits and colloidal samples at microscale. Results show that this method outperforms the state-of-the-art techniques for impedance measurement applications, exhibiting low uncertainty and physical interpretation.

Place, publisher, year, edition, pages
2019. Vol. 148, article id 106913
National Category
Bioengineering Equipment
Identifiers
URN: urn:nbn:se:kth:diva-256301DOI: 10.1016/j.measurement.2019.106913ISI: 000487930000027Scopus ID: 2-s2.0-85070930515OAI: oai:DiVA.org:kth-256301DiVA, id: diva2:1344200
Note

QC 20190820

Available from: 2019-08-20 Created: 2019-08-20 Last updated: 2019-10-28Bibliographically approved

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Müller, Matias I.Mattila, Robert

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