Impedance Spectroscopy Based on Linear System Identification

Impedance spectroscopy is a commonly used measurement technique for electrical characterization of a sample under test over a wide frequency range. Most measurement methods employ a sine wave excitation generator, which implies a point-by-point frequency sweep and a complex readout architecture. Thi...

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Bibliographic Details
Published in:IEEE transactions on biomedical circuits and systems 2019-04, Vol.13 (2), p.396-402
Main Authors: Ivanisevic, Nikola, Rodriguez, Saul, Rusu, Ana
Format: Article
Language:English
Subjects:
adaptive filtering
Analog to digital conversion
Analog to digital converters
ARX
Biomedical measurement
Broadband
Calibration
Complexity
Cost function
Dielectric Spectroscopy
Electrical Engineering
Electrical properties
Elektro- och systemteknik
Frequency ranges
Humans
IIR filter
Impedance
Impedance measurement
Impedance spectroscopy
Mathematical model
Measurement methods
Measurement techniques
Prototypes
pseudo-random waveform
Rangefinding
Signal Processing, Computer-Assisted
Sine waves
Skin Physiological Phenomena
Spectroscopic analysis
Spectroscopy
Spectrum analysis
System identification
Time Factors
Voltage amplifiers
Wave excitation
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Summary:Impedance spectroscopy is a commonly used measurement technique for electrical characterization of a sample under test over a wide frequency range. Most measurement methods employ a sine wave excitation generator, which implies a point-by-point frequency sweep and a complex readout architecture. This paper presents a fast, wideband, measurement method for impedance spectroscopy based on linear system identification. The main advantage of the proposed method is the low hardware complexity, which consists of a three-level pulse waveform, an inverting voltage amplifier, and a general purpose analog-to-digital converter (ADC). A proof-of-concept prototype, which is implemented with off-the-shelf components, achieves an estimation fit of approximately 96%. The prototype operation is validated electrically using known RC component values and tested in real application conditions.
ISSN:1932-4545
1940-9990
1940-9990
DOI:10.1109/TBCAS.2019.2900584