Hilbert Huang transform impedance measurement data for cellular toxicity monitoring

This paper investigates the Hilbert-Huang transformation (HHT), which is adaptive analysis of non-linear and non-stationary signals. The aim of this study is to apply HHT to impedance measurement data analysis in order to discriminate different types of cells and monitor cellular response to toxicity. This study examines two types of cells- i.e. ECV304, Caco-2 grown in culture plates and one toxin DMSO effects on ECV304 cells. The results are monitored over time, which show the changes associated with the cell growth. HHT marginal spectrum provides a measure of energy in the whole frequency range varies with the different types of cells as well as the concentration of toxin. This method could extract the characteristics information of the impedance measurement data effectively, and is useful for monitoring the cell changes associated with applied physiological factors such as different signals.