<div class="csl-bib-body">
<div class="csl-entry">Kaniusas, E., Samoudi, A. M., Kampusch, S., Bald, K., Tanghe, E., Martens, L., Joseph, W., & Széles, J. C. (2020). Stimulation Pattern Efficiency in Percutaneous Auricular Vagus Nerve Stimulation: Experimental versus Numerical data. <i>IEEE Transactions on Biomedical Engineering</i>. https://doi.org/10.1109/TBME.2019.2950777</div>
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The final publication is available via <a href="https://doi.org/10.1109/TBME.2019.2950777" target="_blank">https://doi.org/10.1109/TBME.2019.2950777</a>.
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dc.description.abstract
Objective: Percutaneous electrical stimulation of the auricular vagus nerve (pVNS) is an electroceutical technology. The selection of stimulation patterns is empirical, which may lead to under-stimulation or over-stimulation. The objective is to assess the efficiency of different stimulation patterns with respect to individual perception and to compare it with numerical data based on in-silico ear models.
Methods: Monophasic (MS), biphasic (BS) and triphasic stimulation (TS) patterns were tested in volunteers. Different clinically-relevant perception levels were assessed. In-silico models of the human ear were created with embedded fibers and vessels to assess different excitation levels.
Results: TS indicates experimental superiority over BS which is superior to MS while reaching different perception levels. TS requires about 57% and 35% of BS and MS magnitude, respectively, to reach the comfortable perception. Experimental thresholds are decreased from bursted to non-bursted stimulation. Numerical results indicate a slight superiority of BS and TS over MS while reaching different excitation levels, whereas the burst length has no influence. TS yields the highest number of asynchronous action impulses per stimulation symbol for the used tripolar electrode set-up.
Conclusion: The comparison of experimental and numerical data favors the novel TS pattern. The analysis separates excitatory pVNS effects in the auricular periphery, as accounted by in-silico data, from the combination of peripheral and central pVNS effects in the brain, as accounted by experimental data.
Significance: The proposed approach moves from an empirical selection of stimulation patterns towards efficient and optimized pVNS settings.
en
dc.description.sponsorship
European Commission Horizon 2020 Framework Programme
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dc.description.sponsorship
AuriMod — H2020-SMEInst-2018-2020-2
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dc.language
English
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dc.language.iso
en
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dc.publisher
IEEE
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dc.relation.ispartof
IEEE Transactions on Biomedical Engineering
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
auricular nerves
en
dc.subject
in-silico modeling
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dc.subject
personalized stimulation
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dc.subject
stimulation optimization
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dc.subject
stimulation patterns
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dc.subject
vagus nerve stimulation
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dc.title
Stimulation Pattern Efficiency in Percutaneous Auricular Vagus Nerve Stimulation: Experimental versus Numerical data
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dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.contributor.affiliation
Ghent University, Belgium
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dc.contributor.affiliation
TU Wien, Österreich
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dc.contributor.affiliation
Ghent University, Belgium
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dc.contributor.affiliation
Ghent University, Belgium
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dc.contributor.affiliation
Ghent University, Belgium
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dc.contributor.affiliation
Medical University of Vienna, Austria
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dc.relation.grantno
880603
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dc.rights.holder
2019 IEEE.
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dc.type.category
Original Research Article
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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tuw.version
am
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dcterms.isPartOf.title
IEEE Transactions on Biomedical Engineering
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tuw.publication.orgunit
E354 - Electrodynamics, Microwave and Circuit Engineering