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access icon openaccess Thickness estimation of the subcutaneous fat using coaxial probe

In this Letter, a non-invasive method for thickness estimation of the subcutaneous fat layer of abdominal wall is presented by using a coaxial probe. Fat layer has the highest impact on the averaged attenuation parameter of the abdominal wall due to its high thickness and low permittivity. The abdominal wall is modelled as a multi-layer medium and an analytical model for the probe is derived by calculation of its aperture admittance facing to this multi-layer medium. The performance of this model is then validated by a numerical simulation using finite-difference-time-domain (FDTD) analysis. Simulation results show the high impact of the probe dimension and fat layer thickness on the sensitivity of the measured permittivity. The authors further investigate this sensitivity by statistical analysis of the permittivity variations. Finally, measuring in different locations relative to the body surface is presented as a solution to estimate the fat layer thickness in the presence of uncertainty of model parameters.

References

    1. 1)
    2. 2)
    3. 3)
      • 4. Liu, L., D'Errico, R., Ouvry, L., et al: ‘Dynamic channel modeling at 2.4 GHz for on-body area networks’, Adv. Electron. Telecommun., 2011, 2, pp. 1827.
    4. 4)
      • 18. Chen, L.F., Ong, C.K., Neo, C.P., et al: ‘Microwave electronics; measurement and materials characterization’ (John Wiley, West Sussex, England, 2004).
    5. 5)
    6. 6)
      • 14. Nadimi, E.S., Blanes-Vidal, V., Harslund, J.L.F., et al: ‘In vivo and in situ measurement and modeling of intra-body effective complex permittivity’, IET Healthc. Technol. Lett., 2015, accepted.
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
      • 12. Petrofsky, J.S., Prowse, M., Lohman, E.: ‘The influence of ageing and diabetes on skin and subcutaneous fat thickness in different regions of the body’, J. Appl. Res., 2008, 8, pp. 5561.
    12. 12)
    13. 13)
    14. 14)
      • 22. Orfanidis, S.J.: ‘Electromagnetic waves and antennas [on line]’ (Rutgers University, Piscataway, NJ, 2008).
    15. 15)
    16. 16)
    17. 17)
    18. 18)
      • 19. www.SEMCAD.com, homepage for the software.
    19. 19)
    20. 20)
    21. 21)
    22. 22)
      • 10. Wagner, D.R.: ‘Ultrasound as a tool to assess body fat’, J. Obes., 2013, p. 280713.
    23. 23)
    24. 24)
      • 13. McEwan, A.L., Bian, S., Gargiulo, G.D., et al: ‘Low-cost near-infrared measurement of subcutaneous fat for newborn malnutrition’. Proc. of SPIE 9060, Nanosensors, Biosensors, and Info-Tech Sensors and Systems, California, United States, 2014.
http://iet.metastore.ingenta.com/content/journals/10.1049/htl.2015.0036
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