Mathematical Model for Calibration of Potential Detection of Nonlinear Responses in Biological Media Exposed to RF Energy
关键词:
Biological responses, nonlinearity, quality factor, resonant cavity, second harmonic摘要
An efficient way to test for potential unsymmetrical nonlinear responses in biological tissue samples exposed to a microwave signal is to observe the second harmonic in a cavity resonant at the two frequencies, with collocated antinodes. Such a response would be of interest as being a mechanism that could enable demodulation of information-carrying waveforms. In this work, an electric circuit model is proposed to facilitate calibration of any putative nonlinear RF energy conversion inside a high quality-factor resonant cavity with a known nonlinear loading device. The first and second harmonic responses of the cavity due to loading with the nonlinear and lossy material are also demonstrated. The results from the proposed mathematical model give a good indication of the input power required to detect any very weak second harmonic signal in relation to the sensitivity of the measurement equipment. Hence, this proposed mathematical model will assist in determining the level of the second harmonic signal in the detector as a function of the specific input power applied.
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参考
L. J. Challis, “Review of mechanisms for interaction between RF fields and biological tissue,” Bioelectromagnetics, pp. S98-S106, 2005.
C. H. See, R. A. Abd-Alhameed, and P. S. Excell, “Computation of electromagnetic fields in assemblages of biological cells using a modified finite difference time domain scheme,” IEEE Transactions on Microwave Theory and Techniques, vol. 55, no. 9, pp. 1986-1994, Sept. 2007.
A. Ferikoglu, O. Cerezci, M. Kahriman, and S. C. Yener, “Electromagnetic absorption rate in a multilayer human tissue model exposed to basestation radiation using transmission line analysis,” IEEE Antennas and Wireless Propagation Letters, vol. 13, pp. 903-906, 2014.
Q. Balzano, “Proposed test for detection of nonlinear responses in biological preparations exposed to RF energy,” Bioelectromagnetics, pp. 278-287, 2002.
Q. Balzano and A. Sheppard, “RF nonlinear interactions in living cells – I: Nonequilibrium thermodynamic theory,” Bioelectromagnetics, pp. 473-482, 2003.
Q. Balzano, “RF nonlinear interactions in living cells – II: Detection methods for spectral signatures,” Bioelectromagnetics, pp. 483-488, 2003.
C. Kowalczuk, G. Yarwood, R. Blackwell, M. Priestner, Z. Sienkiewicz, S. Bouffler, I. Ahmed, R. Abd-Alhameed, P. Excell, V. Hodzic, C. Davis, R. Gammon, and Q. Balzano, “Absence of nonlinear responses in cells and tissues exposed to RF energy at mobile phone frequencies using a doubly resonant cavity,” Bioelectromagnetics, vol. 31, pp. 556-565, 2010.
C. Kowalczuk, G. Yarwood, M. Priestner, R. Blackwell, S. Bouffler, I. Almed, R. AbdAlhameed, C. See, P. Excell, Q. Balzano, V. Hodzic, R. Gammon, and C. Davis, “Nonlinear and demodulation mechanisms in biological tissue (biological systems),” Final Report submitted to Department of Health on 2009. Available: http://www.mthr.org.uk/research_projects/docume nts/RUM22bFinalReport.pdf
S. Pisa and E. Piuzzi, “Interaction between 3-T MRI systems and patients with an implanted pacemaker,” ACES Journal, vol. 30, no. 7, pp. 706-716, July 2015.
M. R. I. Faruque, M. T. Islam, and N. Misran, “Evaluation of EM absorption in human head with metamaterial attachment,” ACES Journal, vol. 25, no. 12, pp. 1097-1107, Dec. 2010.
M. Eleiwa and A. Z. Elsherbeni, “Debye constants for biological tissues from 30 Hz to 20 GHz,” ACES Journal, vol. 16, no. 3, pp. 202-213, Nov. 2001.
K. Ramli, R. A. Abd-Alhameed, C. H. See, P. S. Excell, and J. M. Noras, “Hybrid computational scheme for antenna-human body interaction,” Progress In Electromagnetics Research (PIER), vol. 133, pp. 117-136, 2013.
C. H. See, R. A. Abd-Alhameed, P. S. Excell, and D. Zhou, “Microscopic biological cell level model using modified finite-difference time-domain at mobile radio frequencies,” PIERS Online, ISSN 1931-7360, vol. 4, no. 1, pp. 6-10, Jan. 2008.
M. O. Goni, “Electric field distribution in a biological cell for various electrode configurationsA simulation study,” ACES Journal, vol. 27, no. 5, pp. 449-457, May 2012.
C. H. See, R. A. Abd-Alhameed, S. W. J. Chung, D. Zhou, H. Al-Ahmad, and P. S. Excell, “The design of a resistively loaded bowtie antenna for applications in breast cancer detection systems,” IEEE Trans. Antennas and Propagation, vol. 60, no. 5, pp. 2526-2530, May 2012.
H. Acikgoz, “Internal homogenization of biological tissues for electromagnetic dosimetry,” ACES Journal, vol. 31, no. 6, pp. 706-711, June 2016.
M. Cvetkovic, S. Lallechere, K. El Khamlichi Drissi, P. Bonnet, and D. Poljak, “Stochastic sensitivity in homogeneous electromagneticthermal dosimetry model of human brain,” ACES Journal, vol. 31, no. 6, pp. 644-652, June 2016.
C. H. See, R. A. Abd-Alhameed, and P. S. Excell, “Mathematical model for calibration of nonlinear responses in biological media exposed to RF energy,” IET Computational in Electromagnetics (CEM), March 31-April 1, 2014, Imperial College London, pp. 1-2, 2014.
CST Microwave Studio software, Germany.
Z. Hu, V. T. Ho, A. A. Ali, and A. Rezazadeh, “High tangential signal sensitivity GaAs planar doped barrier diodes for microwave/millimeterwave power detector applications,” IEEE Microwave and Wireless Components Letters, vol. 15, no. 3, pp. 150-152, Mar. 2005.
ANSYS HFSS software, ANSYS Inc., Canonsburg, PA, USA.
