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<div class="csl-entry">SAMOUDI, A. M., Kampusch, S., Tanghe, E., Széles, J. C., Martens, L., Kaniusas, E., & Joseph, W. (2019). Sensitivity Analysis of a Numerical Model for Percutaneous Auricular Vagus Nerve Stimulation. <i>Applied Sciences</i>, <i>9</i>(3), Article 540. https://doi.org/10.3390/app9030540</div>
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dc.identifier.issn
2076-3417
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/142627
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dc.description.abstract
Background: Less-invasive percutaneous stimulation of the auricular branch of the vagus nerve (pVNS) gained importance as a possible nonpharmacological treatment for various diseases. The objective is to perform a sensitivity analysis of a realistic numerical model of pVNS and to investigate the effects of the model parameters on the excitation threshold for single and bundled axons. Methods: Sim4Life electrostatic solver and neural tissue models were combined for electromagnetic and neural simulation. The numerical model consisted of a high-resolution model of a human ear, blood vessels, nerves, and three needle electrodes. Investigated parameters include the axon diameter and number, model temperature, ear conductivity, and electrodes’ penetration depth and position. Results: The electric field distribution was evaluated. Model temperature and ear conductivity are the non-influential parameters. Axons fiber diameter and the electrodes’ penetration depth are the most influential parameters with a maximum threshold voltage sensitivity of 32 mV for each 1 μm change in the axon diameter and 38 mV for each 0.1 mm change in the electrodes’ penetration depth. Conclusions: The established sensitivity analysis allows the identification of the influential and the non-influential parameters with a sensitivity quantification. Results suggest that the electrodes’ penetration depth is the most influential parameter.
en
dc.language.iso
en
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dc.publisher
MDPI
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dc.relation.ispartof
Applied Sciences
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Computer Science Applications
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dc.subject
General Engineering
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dc.subject
General Materials Science
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dc.subject
Instrumentation
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dc.subject
Fluid Flow and Transfer Processes
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dc.subject
Process Chemistry and Technology
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dc.title
Sensitivity Analysis of a Numerical Model for Percutaneous Auricular Vagus Nerve Stimulation