NDLI: Improvements in design of spectra of multisine and binary excitation signals for multi-frequency bioimpedance measurement

Content Provider	IEEE Xplore Digital Library
Author	Land, R. Cahill, B.P. Parve, T. Annus, P. Min, M.
Copyright Year	2011
Description	Author affiliation: Institute for Bioprocessing and Analytical Measurement Techniques e.V., Rosenhof, Heilbad Heiligenstadt, 37308 Germany (Cahill, B.P.) \|\| Competence Centre ELIKO, 12618, Tallinn, Estonia (Annus, P.) \|\| Th. J. Seebeck Department of Electronics, Tallinn University of Technology, 19086 Tallinn, Estonia (Land, R.; Parve, T.; Min, M.)
Abstract	The paper discusses the usability of multi-frequency binary waveforms for broadband excitation in fast measurements of impedance spectrum of biological objects. It is shown that up to 70% of the energy of the amplitude spectrum of such two-level binary signals can be concentrated into the selected separate frequencies. The levels of selected frequency components are controllable in tens and hundreds of times. In this way we can underline the most important frequencies enhancing the corresponding amplitudes in the spectrum of excitation signal. As an implementation example, we consider the impedance spectroscopy in micro-fluidic devices for inline measurement of the conductivity of droplets in segmented flow. We use a thin-walled glass capillary with electrodes contacting the outer surface so that the contactless measurement of conductivity of liquid with biologic cells becomes possible.
Starting Page	4038
Ending Page	4041
File Size	529864
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091003
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Impedance Electrodes Impedance measurement Capacitance Frequency measurement Spectroscopy Microfluidics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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