A fuzzy inference approach for fast analysis of AC skin impedance

In the conventional methods, we determined AC skin impedance resulting from off-line estimation. However, these methods lack real time convenience. In order to improve the conventional methods, we investigated a fast direct method of measurement of AC skin impedance which, based on a fuzzy inference approach, is proposed in this paper. A novel direct noninvasive method which uses instantaneous input data of voltage and current as a function of time is desired. These data are subsequently processed with a discrete Fourier transform and a fuzzy inference computation, producing a set of resistance and capacitance values of the components of the skin equivalent circuit. This technique is faster than the conventional methods because it uses a real-time, online measurement and computation, and requires only a high frequency input signal rather than multifrequency