Friday, March 15, 2019

Abstract-Terahertz signal analysis for biological tissues based on empirical mode decomposition



Rui Zhang, Tong Wu, Yuejin Zhao,

Fig. 2. The temporal and frequency spectrum magnitudes of the original THz signal and…

https://www.sciencedirect.com/science/article/pii/S0030402619302591

We propose an empirical mode decomposition (EMD) based method for terahertz (THz) signal analysis to differentiate different biological tissues. The THz signals reflected from fresh porcine muscle and skin tissues were observed. The time-domain THz signals of the tissues are decomposed into a series of components called the intrinsic mode functions (IMFs). It is found that the decomposed low-order IMFs, especially the first-order IMF, have better performance to distinguish different tissues. Because the first-order IMF contains most of the energy from the original signal in the higher frequency range, in which tissue water has lager absorption of THz wave. The proposed strategy provides a supplementary and more efficient way for biological tissues characterization.

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