Identification of a First Order Model of Implanted Electrodes on the First SUAW Patient
Abstract
Impedance evaluation of implanted electrodes is necessary to ensure that the implant can deliver the specified current, and to survey any failure due to the electrodes. To perform the identification in the implanted hardware, a simple, but sufficiently descriptive model, must be used because of the poor excitation input signal and in order to avoid complex identification algorithms. Data recorded on the first implanted SUAW patient give information on the real impedance of both neural and epimysial electrodes and an opportunity to validate simple first order models.
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