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Investigating the quasi-oscillatory behavior of electrical parameters with the concentration of D-glucose in aqueous solution

)\overrightarrow{E} \\ & \,\,\,\,\,\,\,\frac{\varepsilon }{{{\varepsilon }_{0}}}=\frac{n{{p}^{2}}}{3k{{T}_{{{\varepsilon }_{0}}}}}+1 \\ \end{align}$$ The solution of DI water and glucose will have three different types of interactions at the molecular level: the water-water, glucose-glucose and water-glucose dipoles that finally determine the overall dielectric behavior of the solution [ 25 , 26 ]. Therefore, the net polarization of an elementary volume, contributed from these three different components, can be written as (10) p 2 = ( p W cos   θ W ) 2 + ( p G cos   θ G ) 2 + 2 p W p G

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Dopamine detection using mercaptopropionic acid and cysteamine for electrodes surface modification

-hood with 25 wt % of KOH at 80 °C for 6-8 hours. Figure 5 shows the Nickle shim fabrication steps. Fig. 5 Process flow of Nickle shim fabrication Device fabrication by injection molding Nickle shim was then used to fabricate required microfluidic devices of COC substrate using injection molding techniques as described further. Once the Nickle shim was created and separated from the silicon wafer, it was cut with 1064 nm laser micro machining tool using 255 mm optics with a laser power of 1.9 W at 10%. After cutting, the Nickle shim was

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Cole Parameter Estimation from the Modulus of the Electrical Bioimpeadance for Assessment of Body Composition. A Full Spectroscopy Approach

TBW ECF ICF FM Subject 1 -0.04 / -0.04 0.12 / 0.04 -0.12 / -0.09 0.06 / 0.06 Subject 2 -0.71 / -0.42 0.87 / 0.05 -0.87 / -0.48 0.97 / 0.59 Subject 3 -0.13 / -0.12 0.19 / 0.03 -0.19 / -0.15 0.18 / 0.17 Subject 4 -0.41 / -0.35 0.59 / 0.12 -0.59 / -0.46 0.57 / 0.47 Subject 5 -0.25 / -0.18 0.49 / 0.05 -0.49/ -0.24 0.34 / 0.25 Average -0.31 / -0.22 0.45 / 0.06 -0.45 / -0.28 0.42 / 0.31 Note: The percentage of ECF and ICF are referred to the TBW and the FM is expressed in

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Assessing cardiac preload by the Initial Systolic Time Interval obtained from impedance cardiography

;115:19-28 14706465 10.1016/S1388-2457(03)00312-2 Burgess HJ Penev PD Schneider R Van Cauter E Estimating cardiac autonomic activity during sleep: impedance cardiography, spectral analysis, and Poincaré plots Clin Neurophysiol 2004 115 19 28 4 Schweiger E, Wittling W, Genzel S, Block A. Relationship between sympathovagal tone and personality traits. Person Individ Diff 1998;25:327-37 10.1016/S0191-8869(98)00093-2 Schweiger E Wittling W Genzel S Block A Relationship between sympathovagal tone and personality traits Person Individ Diff

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Simulation of impedance measurements at human forearm within 1 kHz to 2 MHz

.ejcn.1601384 Pietrobelli A Nu-ez C Zingaretti G Battistini N Morini P Wang ZM Yasumura S Heymsfield SB Assessment by bioimpedance of forearm cell mass: a new approach to calibration Eur J Clin Nutr 2002 56 8 723 8 dx.doi.org/10.1038/sj.ejcn.1601384 14 Ohmine Y, Morimoto T, Kinouchi Y, Iritani T, Takeuchi M, Haku M, Nishitani H. Basic study of new diagnostic modality according to non-invasive measurement of the electrical conductivity of tissues. J Med Invest. 2004;51(3-4):218–25. dx.doi.org/10.2152/jmi.51.218 15460909 10.2152/jmi

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Monitoring thoracic fluid content using bioelectrical impedance spectroscopy and Cole modeling

Cole model and on geometrical properties of the impedance arc. Indicator dilution measurements obtained through cardiac magnetic resonance imaging were used as a reference for the changes in pulmonary fluid volume. Eight healthy subjects were included in the study. The Cole model parameters of the study group at baseline were: R 0 = 51.4 ± 6.7 Ω, R ∞ = 25.0 ± 7.0 Ω, f c = 49.0 ± 10.5 kHz, α = 0.687 ± 0.027, the resistances of individual fluid compartments were R E = 51.4 ± 6.7 Ω, R I = 50.5 ± 22.9 Ω, the fluid distribution ratio was K = 1.1 ± 0.3, and the

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Classification of different erythrocyte cells by using bioimpedance surface acoustic wave and their sedimentation rates

liquids will vary. The time rates of changing for these heights are related to the sedimentation velocity, where higher velocity means high rates of these lengths or heights. The sedimentation velocity of the RBCs as function of their radii and the volume fractions is given by [13]. (5) v = ρ R B C − ρ p l a s ∗ g ∗ d 2 / 18 μ 1 + 2.5 Φ $$v=\left( {{\rho }_{RBC}}-{{\rho }_{plas}} \right)*g*\,\,{{{d}^{2}}}/{18\mu \left( 1

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Enhancing sharp features by locally relaxing regularization for reconstructed images in electrical impedance tomography

. Guardo R. 1996 Electrical impedance tomography: regularized imaging and contrast detection IEEE Transactions on Medical Imaging 15 2 170 – 179 https://doi.org/10.1109/42.491418 Adler, A. and Lionheart, W.R., 2006. Uses and abuses of EIDORS: an extensible software base for EIT. Physiological Measurement, 27(5), pp.S25-42. https://doi.org/10.1088/0967-3334/27/5/s03 10.1088/0967-3334/27/5/S03 16636416 Adler A. Lionheart W.R. 2006 Uses and abuses of EIDORS: an extensible software base for EIT Physiological Measurement 27 5 S25 – 42

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Parallel, multi frequency EIT measurement, suitable for recording impedance changes during epilepsy

Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method Neuroimage 2003 20 2 752 – 764 http://dx.doi.org/10.1016/S1053-8119(03)00301-X 10 Holder D. Electrical impedance tomography in epilepsy. Electron. Eng. Miller Freeman plc; 1998;70(859):69–70. Holder D Electrical impedance tomography in epilepsy Electron. Eng. Miller Freeman plc; 1998 70 859 69 – 70 11 Vongerichten A, Sato dos Santos G, Avery J, Walker M, Holder D. Electrical impedance tomography (EIT) of epileptic seizures in rat

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Three-dimensional pulmonary monitoring using focused electrical impedance measurements

.jphysparis.2009.07.003 20 Adler A, Lionheart WRB. Uses and abuses of EIDORS: an extensible software base for EIT. Physiological Measurement. 2006 apr;27(5):S25–S42. http://dx.doi.org/10.1088/0967-3334/27/5/s03 . 10.1088/0967-3334/27/5/S03 16636416 Adler A Lionheart WRB Uses and abuses of EIDORS: an extensible software base for EIT Physiological Measurement 2006 apr 27 5 S25 S42 http://dx.doi.org/10.1088/0967-3334/27/5/s03 21 Schöberl J. NETGEN An advancing front 2D/3D-mesh generator based on abstract rules. Computing and Visualization in Science. 1997 jul

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