Hilbert huang transform impedance measurement data for cellular toxicity monitoring

Wang, Zhiyan; Zhu, Quanmin; Kiely, Janice; Luxton, Richard W.

Abstract

This paper investigates the Hilbert-Huang transformation (HHT), which is adaptive analysis of nonlinear 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. © 2009 IEEE.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
• Publication Date: Sep 21, 2009
• Pages: 767-772
• Book Title: International Conference on Networking, Sensing and Control
• ISBN: 978-1-4244-3491-6
• DOI: https://doi.org/10.1109/ICNSC.2009.4919375
• Keywords: Hilbert transforms, bioelectric phenomena, cellular biophysics, electric impedance measurement, medical signal processing, toxicology, Caco-2, DMSO effects, ECV304, HHT, Hilbert Huang transform impedance measurement data, adaptive analysis, cellular toxic
• Public URL: https://uwe-repository.worktribe.com/output/1006233
• Publisher URL: http://dx.doi.org/10.1109/ICNSC.2009.4919375