DocumentCode
27224
Title
A New Approach for Resolution of Complex Tissue Impedance Spectra in Hearts
Author
Pollard, Andrew E. ; Barr, Roger C.
Author_Institution
Univ. of Alabama Birmingham, Birmingham, AL, USA
Volume
60
Issue
9
fYear
2013
fDate
Sept. 2013
Firstpage
2494
Lastpage
2503
Abstract
This study was designed to test the feasibility of using sinusoidal approximation in combination with a new instrumentation approach to resolve complex impedance (uCI) spectra from heart preparations. To assess that feasibility, we applied stimuli in the 10-4000 Hz range and recorded potential differences (uPDs) in a four-electrode configuration that allowed identification of probe constants (Kp) during calibration that were in turn used to measure total tissue resistivity ρt from rabbit ventricular epicardium. Simultaneous acquisition of a signal proportional to the supplied current (Vstim) with uPD allowed identification of the V-I ratio needed for ρt measurement, as well as the phase shift from Vstim to uPD needed for uCI spectra resolution. Performance with components integrated to reduce noise in cardiac electrophysiologic experiments, in particular, and provide accurate electrometer-based measurements, in general, was first characterized in tests using passive loads. Load tests showed accurate uCI recovery with mean uPD SNRs between 101 and 103 measured with supplied currents as low as 10 nA. Comparable performance characteristics were identified during calibration of nine arrays built with 250 μm Ag/AgCl electrodes, with uCIs that matched analytic predictions and no apparent effect of frequency ( F = 0.12, P = 0.99). The potential ability of parasitic capacitance in the presence of the electrode-electrolyte interface associated with the small sensors to influence the uCI spectra was therefore limited by the instrumentation. Resolution of uCI spectra in rabbit ventricle allowed measurement of ρt = 134 ± 53 Ω· cm. The rapid identification available with this strategy provides an opportunity for new interpretations of the uCI spectra to improve quantification of disease-, region-, tissue-, and species-dependent intercellular uncoupling in hearts.
Keywords
bioelectric potentials; biological tissues; biomedical electrodes; calibration; capacitance; cardiology; cellular biophysics; diseases; electric impedance measurement; electrolytes; electrometers; medical signal detection; medical signal processing; sensors; signal denoising; signal resolution; calibration; cardiac electrophysiology; complex tissue impedance spectra; disease-species-dependent intercellular uncoupling; electrode-electrolyte interface; electrometer-based measurements; four-electrode configuration; frequency 10 Hz to 4000 Hz; heart preparations; parasitic capacitance; rabbit ventricular epicardium; recorded potential differences; resolve complex impedance spectra; sensors; signal acquisition; sinusoidal approximation; tissue resistivity; tissue-species-dependent intercellular uncoupling; uCI spectra resolution; uPD SNR; Approximation methods; Current measurement; Electrodes; Heart; Impedance; Sensors; Wires; Cardiac microimpedance; four-electrode; tetrapolar; total tissue resistivity; Animals; Electric Impedance; Electrophysiologic Techniques, Cardiac; Heart; Microelectrodes; Microtechnology; Pericardium; Rabbits; Signal Processing, Computer-Assisted; Signal-To-Noise Ratio; Ventricular Function;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2013.2258917
Filename
6504735
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