Collagen Analysis at Terahertz Band Using Double-Debye Parameter Extraction and Particle Swarm Optimisation

Ke Yang, Nishtha Chopra, Qammer H. Abbasi, Khalid Qaraqe, Akram Alomainy

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This paper focuses on the analysis of cultivated collagen samples at the terahertz (THz) band using double debye model parameter extraction. Based on measured electrical and optical parameters, we propose a model to describe such parameters extracted with a global optimisation method, namely, particle swarm optimisation. Comparing the measured data with ones in the open literature, it is evident that using only cultivated collagen is not sufficient to represent the performance of the epidermis layer of the skin tissue at the THz band of interest. The results show that the differences between the measured data and published ones are as high as 14 and 6 for the real and imaginary values of the dielectric constant, respectively. Our proposed double debye model agrees well with the measured data.

Original languageEnglish
Article number7872380
Pages (from-to)27850-27856
Number of pages7
JournalIEEE Access
Volume5
DOIs
Publication statusPublished - 1 Jan 2017

Fingerprint

Parameter extraction
Collagen
Particle swarm optimization (PSO)
Global optimization
Skin
Permittivity
Tissue

Keywords

  • double-debye model
  • Nano communication
  • permittivity
  • terahertz

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

Collagen Analysis at Terahertz Band Using Double-Debye Parameter Extraction and Particle Swarm Optimisation. / Yang, Ke; Chopra, Nishtha; Abbasi, Qammer H.; Qaraqe, Khalid; Alomainy, Akram.

In: IEEE Access, Vol. 5, 7872380, 01.01.2017, p. 27850-27856.

Research output: Contribution to journalArticle

Yang, Ke ; Chopra, Nishtha ; Abbasi, Qammer H. ; Qaraqe, Khalid ; Alomainy, Akram. / Collagen Analysis at Terahertz Band Using Double-Debye Parameter Extraction and Particle Swarm Optimisation. In: IEEE Access. 2017 ; Vol. 5. pp. 27850-27856.
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