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Erschienen in: Medical & Biological Engineering & Computing 1/2016

01.01.2016 | Original Article

Characterization of high capacitance electrodes for the application of direct current electrical nerve block

verfasst von: Tina Vrabec, Niloy Bhadra, Jesse Wainright, Narendra Bhadra, Manfred Franke, Kevin Kilgore

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 1/2016

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Abstract

Direct current (DC) can briefly produce a reversible nerve conduction block in acute experiments. However, irreversible reactions at the electrode–tissue interface have prevented its use in both acute and chronic settings. A high capacitance material (platinum black) using a charge-balanced waveform was evaluated to determine whether brief DC block (13 s) could be achieved repeatedly (>100 cycles) without causing acute irreversible reduction in nerve conduction. Electrochemical techniques were used to characterize the electrodes to determine appropriate waveform parameters. In vivo experiments on DC motor conduction block of the rat sciatic nerve were performed to characterize the acute neural response to this novel nerve block system. Complete nerve motor conduction block of the rat sciatic nerve was possible in all experiments, with the block threshold ranging from −0.15 to −3.0 mA. DC pulses were applied for 100 cycles with no nerve conduction reduction in four of the six platinum black electrodes tested. However, two of the six electrodes exhibited irreversible conduction degradation despite charge delivery that was within the initial Q (capacitance) value of the electrode. Degradation of material properties occurred in all experiments, pointing to a possible cause of the reduction in nerve conduction in some platinum black experiments .

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Metadaten
Titel
Characterization of high capacitance electrodes for the application of direct current electrical nerve block
verfasst von
Tina Vrabec
Niloy Bhadra
Jesse Wainright
Narendra Bhadra
Manfred Franke
Kevin Kilgore
Publikationsdatum
01.01.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 1/2016
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-015-1385-5

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