NDLI: Modeling the electrode-electrolyte interface for recording and stimulating electrodes

Content Provider	IEEE Xplore Digital Library
Author	Troy, J.B. Cantrell, D.R. Taflove, A. Ruoff, R.S.
Copyright Year	2006
Description	Author affiliation: Dept. of Biomed. Eng., Northwestern Univ., Evanston, IL (Troy, J.B.; Cantrell, D.R.; Taflove, A.; Ruoff, R.S.)
Abstract	The design of metal microelectrodes that produce minimal damage to tissue and can successfully record from and stimulate targeted neural structures necessitates a thorough understanding of the electrical phenomena generated in the tissue surrounding the electrodes. Computational modeling has been a primary strategy used to study these phenomena, and the Finite Element Method has proven to be a powerful approach. Much research has been directed toward the development of models for electrode recording and stimulation, but very few models reported in the literature thus far incorporate the effects of the electrode-electrolyte interface, which can be a source of very high impedance, and thus likely a key component of the system. To explore the effects that the electrode-electrolyte interface has upon the electric potential and current density surrounding metal microelectrodes, simulations of electrode-saline systems in which the electrodes were driven at AC potentials ranging from 10 mV to 500 mV and frequencies of 100 Hz to 10 kHz have been performed using the Finite Element Method. Solutions obtained using the thin layer approximation for the electrode-electrolyte interface was compared with those generated using a thin uniform layer, a representation that has previously appeared in the literature. Solutions using these two methods were similar in the linear regime of the interface however, the thin layer approximation has important advantages over its competitor including ease of application and low computational cost
Sponsorship	IEEE EMB
Starting Page	879
Ending Page	881
File Size	138014
Page Count	3
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.260112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Microelectrodes Finite element methods Power system modeling Computational modeling Impedance Electric potential Current density Frequency Computational efficiency
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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