The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Impedance Characterization and Modeling of Electrodes for Biomedical Applications
Abstract
A low electrode-electrolyte impedance interface is critical in the design of electrodes for biomedical applications. To design low-impedance interfaces a complete understanding of the physical processes contributing to the impedance is required. In this work a model describing these physical processes is validated and extended to quantify the effect of organic coatings and incubation time. Electrochemical impedance spectroscopy has been used to electrically characterize the interface for various electrode materials: platinum, platinum black, and titanium nitride; and varying electrode sizes: 1 cm2, and 900 microm2. An equivalent circuit model comprising an interface capacitance, shunted by a charge transfer resistance, in series with the solution resistance has been fitted to the experimental results. Theoretical equations have been used to calculate the interface capacitance impedance and the solution resistance, yielding results that correspond well with the fitted parameter values, thereby confirming the validity of the equations. The effect of incubation time, and two organic cell-adhesion promoting coatings, poly-L-lysine and laminin, on the interface impedance has been quantified using the model. This demonstrates the benefits of using this model in developing better understanding of the physical processes occurring at the interface in more complex, biomedically relevant situations.
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Cites
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Revealing neuronal function through microelectrode array recordings
Obien, M. E. J., Deligkaris, K., Bullmann, T., Bakkum, D. J., & Frey, U. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00423 · Cited by 705
A transverse intrafascicular multichannel electrode (TIME) to interface with the peripheral nerve
Boretius, T., Badia, J., Pascual-Font, A., Schuettler, M., Navarro, X., Yoshida, K., & Stieglitz, T. (2010) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2010.05.010 · Cited by 468
A Materials Roadmap to Functional Neural Interface Design
Wellman, S. M., Eles, J. R., Ludwig, K. A., Seymour, J. P., Michelson, N. J., McFadden, W. E., Vazquez, A. L., & Kozai, T. D. Y. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201701269 · Cited by 389
Ripples in the medial temporal lobe are relevant for human memory consolidation
Axmacher, N., Elger, C. E., & Fell, J. (2008) · Brain · doi:10.1093/brain/awn103 · Cited by 372
Muller, R., Gambini, S., & Rabaey, J. M. (2012) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2011.2163552 · Cited by 338
Metadata
- Authors
- Franks, W., Schenker, I., Schmutz, P., & Hierlemann, A.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2005-07
- Volume
- 52
- Issue
- 7
- Pages
- 1295-1302
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2126012359
- Cited by
- 659
- References
- 26
- FWCI
- 5.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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