Hong Sig Kim

Time Series Trend of the Water Content on the Different Human Anatomical Sites Using Single Frequency-Susceptance Measuring Method

The water content of stratum corneum (SC) has been reported to vary depending on the anatomical sites. Each anatomical site respectively have their own proper water content of SC which reflects the status of skin health. Also, this anatomical region can be divided into relatively wet and dry area according to the degree of the water content of SC. In this study, we tried to investigate time series trend of the water content. Skin hydration was measured on the different anatomical sites for the first four seconds using single frequency-susceptance measuring method. It is observed that the slope of the graph for the water content during the first four seconds is different depending on the anatomical sites and can be divided into two groups by the degree of the slope. These grouped areas are well aligned with traditional wet and dry area. It is presumed that the difference of the gradient could be caused by the thickness of SC. In this study, the different gradient of time series trend of water content of SC on different anatomical sites was found, and it could be conveniently used to distinguish the wet and dry area of the skin

Implementation of Measuring Bio-signals Simultaneously using Time-Sharing Method

In this paper, we propose a measuring device implementation to measure ECG, 50 KHz BIA for getting BIA/respiration, and 10~50 Hz GSR for measuring electrical characteristics of skin. To this end, BIA signal is separated by line filter and high impedance element and the interference between signals could be minimized by switching in time domain to separate ECG and GSR signals having the similar frequency range. ECG, heart rate and respiration are measured by the simulator based on the implemented circuit and BIA and GSR impedance are verified using standard resistance. Also, we made an experiment this method to human body and found the possibility of detecting bio-signals