Calibration Model for Detection of Potential Demodulating Behaviour in Biological Media Exposed to RF Energy

See, Chan ORCID: 0000-0001-8439-7321, Abd-Alhameed, R.A., Ghani, A., Ali, N., Excell, Peter, McEwan, N.J. and Balzano, Q. (2017) Calibration Model for Detection of Potential Demodulating Behaviour in Biological Media Exposed to RF Energy. IET Science, Measurement and Technology, 11 (7). pp. 900-906. ISSN 1751-8822

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Abstract

Potential demodulating ability in biological tissue exposed to radio-frequency (RF) signals intrinsically requires an unsymmetrical diode-like non-linear response in tissue samples. This may be investigated by observing possible generation of the second harmonic in a cavity resonator designed to have fundamental and second harmonic resonant frequencies with collocated antinodes. Such a response would be of interest as being a mechanism that could enable demodulation of information-carrying waveforms having modulating frequencies in ranges that could interfere with cellular processes. Previous studies have developed an experimental system to test for such responses: the present study reports a circuit model to facilitate calibration of any non-linear RF energy conversion occurring within a test-piece inside the cavity. The method is validated computationally and experimentally using a well-characterised non-linear device. The proposed model demonstrates that the sensitivity of the measurement equipment plays a vital role in deciding the required input power to detect any second harmonic signal, which is expected to be very weak. The model developed here provides a lookup table giving the level of the second harmonic signal in the detector as a function of the input power applied in a measurement. Experimental results are in good agreement with the simulated results.

Item Type: Article
Uncontrolled Keywords: cavity resonators; biological tissues; table lookup; calibration; medical signal detection; harmonic generation; biological techniques; demodulation
Divisions: School of Engineering > Engineering
Depositing User: Tracey Gill
Date Deposited: 31 Jan 2018 10:25
Last Modified: 05 Mar 2018 15:38
Identification Number: 10.1049/iet-smt.2017.0105
URI: http://ubir.bolton.ac.uk/id/eprint/1314

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