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Journal of Electrical Bioimpedance
Volume 13 (2022): Numero 1 (January 2022)
Accesso libero
Algorithms for reconstruction of impedance spectra from non-uniformly sampled step responses
Y. Zaikou
Y. Zaikou
,
C. Gansauge
C. Gansauge
,
D. Echtermeyer
D. Echtermeyer
e
U. Pliquett
U. Pliquett
| 14 gen 2023
Journal of Electrical Bioimpedance
Volume 13 (2022): Numero 1 (January 2022)
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Pubblicato online:
14 gen 2023
Pagine:
143 - 149
Ricevuto:
14 dic 2022
DOI:
https://doi.org/10.2478/joeb-2022-0020
© 2022 Y. Zaikou, C. Gansauge, D. Echtermeyer, U. Pliquett, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Fig. 1
Example of stimulus and response signals. A: Stimulus B: Step response.
Fig. 2
Error of simplistic sampling instant estimation and its correction. A: Dependency on time constant of exponential signal and on sampling interval. B: Example of correcting the error.
Fig. 3
Derivatives of the straightforward local approximations.
Fig. 4
Local signal approximations used to reconstruct measured signal.
Fig. 5
Simulated errors of time rescaling for single exponential signals. Reconstruction of measured signals is done by shape-preserving splines.
Fig. 6
Local signal approximations with and without time rescaling for spheroid in nozzle. A: Whole spectrum. B: Zoom at higher frequencies.
Fig. 7
Model parameters after fitting the measured electrical signals for spheroid in the chamber. A: simple fit of the distribution of relaxation times model and B: the same model fit with proposed improvements.
Fig. 8
Local signal approximations for spheroid in nozzle. A: without correction. B: with correction.