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Characterization and Modeling of Conductive and Insulating Coatings for Neural Interfaces

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dc.contributor.advisor Peixoto, Nathalia
dc.contributor.author Minnikanti, Saugandhika
dc.creator Minnikanti, Saugandhika en_US
dc.date.accessioned 2013-08-19T21:16:49Z
dc.date.available 2013-08-19T21:16:49Z
dc.date.issued 2013-08 en_US
dc.identifier.uri https://hdl.handle.net/1920/8369
dc.description.abstract Neural interfaces are engineered with implantable electrodes that are key in forming efficient connection between the brain and a machine. The implantable electrodes are essentially a combination of exposed conductive regions and passivated coatings. The conductive coatings act as sensors or stimulators while the insulation encapsulates the conductive tracks and device to provide protection against the harsh in vivo environment. For efficient design of implantable electrodes it is important to understand the factors affecting the interface of conductive coatings and neural tissue. Assuming the conductive materials are noble and corrosion-free, the reliability of the device would highly depend on the long term stability of the encapsulation. While the efficiency metric is different for conductive and insulating materials, in both cases electrochemical impedance spectroscopy and equivalent circuit model fitting can be used to diagnose their performance. This thesis is a culmination of experimental and modeling work performed on implantable conducting and insulating coatings for neural interfaces. For conductive coatings (iridium oxide and carbon nanotubes) the goal was to characterize the difference between in vitro and in vivo performance. For insulation (Parylene C and Al2O3-Parylene C) the aim was to estimate the mean time to failure and to understand the modes of failure.
dc.format.extent 190 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2013 Saugandhika Minnikanti en_US
dc.subject Electrical engineering en_US
dc.subject Biomedical engineering en_US
dc.subject accelerated aging en_US
dc.subject carbon nanotubes en_US
dc.subject electrochemical impedance spectroscopy en_US
dc.subject equivalent circuit models en_US
dc.subject implantable electrodes en_US
dc.subject neural interface en_US
dc.title Characterization and Modeling of Conductive and Insulating Coatings for Neural Interfaces en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Electrical and Computer Engineering en
thesis.degree.grantor George Mason University en


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