Ikram E Khuda This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Muhammad Ghiayas Tahir2

1Iqra University, Karachi, Pakistan
2College of Auronautical Engineering, NUST, Islamabad, Pakistan


 

Received: March 29, 2017
Accepted: October 17, 2017
Publication Date: December 1, 2017

Download Citation: ||https://doi.org/10.6180/jase.2017.20.4.02  

ABSTRACT


The behavior and characteristics of waves passing through tissues (channel/medium) are useful in the development of biomedical systems for early detection and diagnosis of cancer cells or any other abruptions/abnormalities developing inside the tissues. In this paper, an adaptive filtering approach is used to model experimentally obtained values of permittivity, conductivity and scattering matrix at millimeter-wave band 50 GHz to 75 GHz, to derive channel behavior on impulse input of normal and tumor containing tissues in the skin. The adaptive filter used is recursive least square or RLS algorithm for both finite impulse response (FIR) and infinite impulse response (IIR) filter structures. The simulation and experimental results are in a good agreement with MSE of 0.0021 only.


Keywords: Channel Impulse Response, Skin Cancer, Millimeter Wave Band, RLS


REFERENCES


  1. [1] Sill, J. M. and Fear, E. C., “Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models,” IEEE Transactions on Microwave Theory and Techniques, Vol. 53, No. 11, pp. 33123319 (2005). doi: 10.1109/TMTT. 2005.857330
  2. [2] Nikolova, N. K., “Microwave Imaging for Breast Cancer,” IEEE Microwave Magazine, Vol. 12, No. 7, pp. 7894 (2011). doi: 10.1109/MMM.2011.942702
  3. [3] Taylor, J. D., Medical Applications of Ultrawideband Radar, In Ultrawideband Radar: Applications and Design, pp. 285324, CRC Press (2012).
  4. [4] Menon, G. K., Skin Basics; Structure and Function, In Lipids and Skin Health, pp. 923, Springer International Publishing (2015).
  5. [5] Chu, D. H., “Development and Structure of Skin,” Fitzpatrick’s Dermatology in General Medicine, Vol. 1, pp. 5875 (2008).
  6. [6] Kleine-Ostmann, T. and Nagatsuma, T., “A Review on Terahertz Communications Research,” Journal of Infrared, Millimeter, and Terahertz Waves, Vol. 32, No. 2, pp. 143171 (2011). doi: 10.1007/s10762-010- 9758-1
  7. [7] McMillan, R. W., Advances in Sensing with Security Applications, Terahertz Imaging Milimeter-Wave Radar, Springer, Dordrecht, The Netherlands, pp. 126 (2006).
  8. [8] Aminzadeh, R., Saviz, M. and Shishegar, A. A., “Dielectric Properties Estimation of Normal and Malignant Skin Tissues at Millimeter-wave Frequencies Using Effective Medium Theory,” In Electrical Engineering (ICEE), 2014 22nd Iranian Conference, pp. 1657 1661 (2014). doi: 10.1109/IranianCEE.2014.6999804
  9. [9] Howard, D., “Structural Changes Associated with Ageing Skin,” Professional Beauty, Vol. Jun, pp. 6668 (2015).
  10. [10] Garrett, J. and Fear, E., “A New Breast Phantom with a Durable Skin Layer for Microwave Breast Imaging,” IEEE Transactions on Antennas and Propagation, Vol. 63, No. 4, pp. 16931700 (2015).
  11. [11] Gabriel, C., Gabriel, S. and Corthout, E., “The Dielectric Properties of Biological Tissues: I. Literature Survey,” Physics in Medicine and Biology, Vol. 41, No. 11, p. 2231 (1996). doi: 10.1088/0031-9155/41/11/ 001
  12. [12] Ikram, E., Sabira, K., Jahid Reza, K., Mijanur, M. and Moslemuddin, F., “Improved Debye Model for Experimental Approximation of Human Breast Tissue Properties at 6 GHz Ultra-wideband Centre Frequency,” International Journal of Engineering Technology, Vol. 5, No. 6, pp. 47084717 (2013).
  13. [13] Chahat, N., Zhadobov, M. and Sauleau, R., “Broadband Tissue-equivalent Phantom for BAN Applications at Millimeter Waves,” IEEE Transactions on Microwave Theory and Techniques, Vol. 60, No. 7, pp. 22592266 (2012). doi: 10.1109/TMTT.2012.2195196
  14. [14] Feldman, Y., Puzenko, A., Ishai, P. B., Caduff, A.,Davidovich, I., Sakran, F. and Agranat, A. J., “The Electromagnetic Response of Human Skin in the Millimetre and Submillimetre Wave Range,” Physics in Medicine and Biology, Vol. 54, No. 11, p. 3341 (2009). doi: 10.1088/0031-9155/54/11/005
  15. [15] Aminzadeh, R., Shishegar, A. A. and Saviz, M., “Numerical and Experimental Assessment of Millimeterwave Reflectometry for Non-invasive Diagnosis of Skin Cancers,” The 8th European Conference on Antennas and Propagation (EuCAP) (2014).
  16. [16] Khuda, I. E., Tahir, M. G. and Raza, K., “Novel Channel Impulse Response Equations of Normal and Malignant Skin at High Frequency mm-wave Band,” Science International (Lahore), Vol. 28, No. 2, pp. 885 889 (2016).
  17. [17] Engel, Y., Mannor, S. and Meir, R., “The Kernel Recursive Least-squares Algorithm,” IEEE Transactions on Signal Processing, Vol. 52, No. 8, pp. 22752285 (2004). doi: 10.1109/TSP.2004.830985
  18. [18] Haykin, S. S., Adaptive Filter Theory, Pearson Education India (2008).
  19. [19] Baraniuk, R. G., Burrus, C. S., Johnson, D. H. and Jones, D. L., “Sharing Knowledge and Building Communities in Signal Processing,” IEEE Signal Processing Magazine, Vol. 21, No. 5, pp. 1016 (2004). doi: 10.1109/MSP.2004.1328080