Title :
Dynamically characterizing bioimpedance of fingertip skin through a developed CVD based electrotactile rendering system
Author :
Shen, Yantao ; Gregory, John ; Shelton, Claire E.
Author_Institution :
Dept. of Electr. & Biomed. Eng., Univ. of Nevada, Reno, NV, USA
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
In this paper, by combining a newly developed constant-voltage-driver (CVD) based electrotactile rendering system with an on-line identification method, parameters of the resistor-capacitor (R-C) load bioimpedance model of fingertip skin are dynamically characterized and analyzed. The CVD rendering system is capable of producing varying stimulation voltage/current waveforms to fingertip. The proposed on-line identification method is a discrete-time extended least squares (ELS) iterative approach with forgetting factor (FF), which serves as an adaptive law to estimate parameters of the bioimpedance model of fingertip skin during performing the stimulation current tracking control in z-domain. Experimental results demonstrate dynamic characteristics of the identified fingertip skin bioimpedance for the sampled population.
Keywords :
bioelectric phenomena; biomedical electrodes; electric impedance; identification technology; skin; touch (physiological); CVD; constant-voltage-driver; discrete-time extended least squares iterative approach; electrotactile rendering system; fingertip skin; forgetting factor; on-line identification method; parameter estimation; resistor-capacitor load bioimpedance model; Adaptation models; Bioimpedance; Biological system modeling; Electrodes; Rendering (computer graphics); Skin; Voltage measurement; Electric Impedance; Humans; Models, Theoretical; Skin Physiological Phenomena; Touch;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090809
