Equivalent circuit model to estimate the glucose at physiological concentrations using electrochemical impedance spectroscopy data

Oscar Javier Olarte Rodriguez; Kurt Barbé; Wendy Van Moer; Yves Van Ingelgem

Equivalent circuit model to estimate the glucose at physiological concentrations using electrochemical impedance spectroscopy data

Oscar Javier Olarte Rodriguez, Kurt Barbé, Wendy Van Moer, Yves Van Ingelgem

Research output: Chapter in Book/Report/Conference proceeding › Meeting abstract (Book)

Abstract

In this work an equivalent circuit model is used to fit impedance data obtained from saline-glucose solutions at physiological concentrations. The electrochemical cell is excited with an odd random phase multisine signal. This type of excitation allows knowing the level of noise and the level of non-linear distortions present in the system. The proposed model allows estimating the glucose concentration in saline solutions.

Original language	English
Title of host publication	Annual Symposium of the IEEE EMBS and IM Benelux Chapter and National Day on Biomedical Engineering, December 5-6, 2013
Publication status	Published - 5 Dec 2013
Event	Unknown - Duration: 5 Dec 2013 → …

Conference

Conference	Unknown
Period	5/12/13 → …

Keywords

biosignals
implants

Cite this

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title = "Equivalent circuit model to estimate the glucose at physiological concentrations using electrochemical impedance spectroscopy data",

abstract = "In this work an equivalent circuit model is used to fit impedance data obtained from saline-glucose solutions at physiological concentrations. The electrochemical cell is excited with an odd random phase multisine signal. This type of excitation allows knowing the level of noise and the level of non-linear distortions present in the system. The proposed model allows estimating the glucose concentration in saline solutions.",

keywords = "biosignals, implants",

author = "{Olarte Rodriguez}, {Oscar Javier} and Kurt Barb{\'e} and {Van Moer}, Wendy and {Van Ingelgem}, Yves",

year = "2013",

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language = "English",

booktitle = "Annual Symposium of the IEEE EMBS and IM Benelux Chapter and National Day on Biomedical Engineering, December 5-6, 2013",

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Equivalent circuit model to estimate the glucose at physiological concentrations using electrochemical impedance spectroscopy data. / Olarte Rodriguez, Oscar Javier ; Barbé, Kurt; Van Moer, Wendy; Van Ingelgem, Yves.

Annual Symposium of the IEEE EMBS and IM Benelux Chapter and National Day on Biomedical Engineering, December 5-6, 2013. 2013.

Research output: Chapter in Book/Report/Conference proceeding › Meeting abstract (Book)

TY - CHAP

T1 - Equivalent circuit model to estimate the glucose at physiological concentrations using electrochemical impedance spectroscopy data

AU - Olarte Rodriguez, Oscar Javier

AU - Barbé, Kurt

AU - Van Moer, Wendy

AU - Van Ingelgem, Yves

PY - 2013/12/5

Y1 - 2013/12/5

N2 - In this work an equivalent circuit model is used to fit impedance data obtained from saline-glucose solutions at physiological concentrations. The electrochemical cell is excited with an odd random phase multisine signal. This type of excitation allows knowing the level of noise and the level of non-linear distortions present in the system. The proposed model allows estimating the glucose concentration in saline solutions.

AB - In this work an equivalent circuit model is used to fit impedance data obtained from saline-glucose solutions at physiological concentrations. The electrochemical cell is excited with an odd random phase multisine signal. This type of excitation allows knowing the level of noise and the level of non-linear distortions present in the system. The proposed model allows estimating the glucose concentration in saline solutions.

KW - biosignals

KW - implants

M3 - Meeting abstract (Book)

BT - Annual Symposium of the IEEE EMBS and IM Benelux Chapter and National Day on Biomedical Engineering, December 5-6, 2013

Y2 - 5 December 2013

ER -

Equivalent circuit model to estimate the glucose at physiological concentrations using electrochemical impedance spectroscopy data

Abstract

Conference

Keywords

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Cite this