Background: Bioimpedance is of great importance in both basic and clinical researches. Though several parameters have been used in detection and analyzing the condition of the tissues and human body epidemically and clinically, we hypothesize that the ratio of resistive and capacitive components of tissues could be discriminative in bioelectric impedance analysis (BIA) related researches. Materials and methods: In this article, we introduced a newly coined parameter, tissue coefficient, to the open data from an online database. Results: The 54 kinds of tissues can be classified into 4 categories: (1) liquid, (2) nail, (3) stomach & muscle, (4) fat & brain. The related time coefficient is especially useful to characterize the liquid-like tissues. Conclusion: The results suggest that the tissue coefficient is promising in distinguishing different tissues, and other BIA-related (bioelectric impedance analysis) scenarios.
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