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Addressing facial nerve stimulation in cochlear implants using model-based diagnostics

Dissertation (MEng (Bioengineering))--University of Pretoria, 2019.

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Other Authors: Hanekom, Tania
Format: Thesis
Language:English
Published: University of Pretoria 2020
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access_status_str Open Access
author2 Hanekom, Tania
author_browse Hanekom, Tania
author_facet Hanekom, Tania
collection Thesis
dc_rights_str_mv © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MEng (Bioengineering))--University of Pretoria, 2019.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:27.571Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2020
publishDateRange 2020
publishDateSort 2020
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/73317 Addressing facial nerve stimulation in cochlear implants using model-based diagnostics Hanekom, Tania Jvanderwesthuizen@tuks.co.za Hanekom, J.J. (Johannes Jurgens) Van der Westhuizen, Jacques Cochlear Implants Model-based diagnostics Facial nerve stimulation 3D cochlear implant modelling User-specific model UCTD Dissertation (MEng (Bioengineering))--University of Pretoria, 2019. Post-implantation facial nerve stimulation is a common side-effect of cochlear electrical stimulation. Facial nerve stimulation can often be resolved through adjustments in speech processor fitting but, in some instances, exhibit limited benefit or may have a detrimental effect on speech perception. In this study, the apical reference stimulation mode was investigated as a potential intervention to facial nerve stimulation. Firstly, a model refinement software tool was developed to improve the accuracy of models created by an automated workflow. Secondly, the refined model of the human cochlea, facial nerve and electrode array, coupled with a neural model, was used to predict excitations of auditory and facial nerve fibres. Finally, psychoacoustic tests were used to determine auditory comfort and threshold levels for the apical reference stimulation mode while simultaneously capturing electromyography data. The refinement tool illustrated an improved accuracy compared to measured data. Models predicted a desirable outcome for apical reference stimulation, as facial nerve fibre thresholds were higher and auditory thresholds were lower, in direct comparison to conventional monopolar stimulation. Psychoacoustic tests illustrated decreased auditory thresholds and increased dynamic range during apical reference stimulation. Furthermore, apical reference stimulation resulted in lower electromyography energy levels, compared to conventional monopolar stimulation, which suggests a reduction in facial nerve stimulation. Subjective feedback corroborated that apical reference stimulation alleviated facial nerve stimulation. This suggests that apical reference stimulation may be a viable strategy to alleviate facial nerve stimulation considering the improvements in dynamic range and auditory thresholds, complemented with a reduction in facial nerve stimulation NRF Electrical, Electronic and Computer Engineering MEng (Bioengineering) Unrestricted 2020-02-17T07:51:23Z 2020-02-17T07:51:23Z 2020-04-01 2019 Dissertation Van der Westhuizen, J 2019, Addressing facial nerve stimulation in cochlear implants using model-based diagnostics, MEng (Bioengineering) Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/73317> http://hdl.handle.net/2263/73317 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle Cochlear Implants
Model-based diagnostics
Facial nerve stimulation
3D cochlear implant modelling
User-specific model
UCTD
Addressing facial nerve stimulation in cochlear implants using model-based diagnostics
title Addressing facial nerve stimulation in cochlear implants using model-based diagnostics
title_full Addressing facial nerve stimulation in cochlear implants using model-based diagnostics
title_fullStr Addressing facial nerve stimulation in cochlear implants using model-based diagnostics
title_full_unstemmed Addressing facial nerve stimulation in cochlear implants using model-based diagnostics
title_short Addressing facial nerve stimulation in cochlear implants using model-based diagnostics
title_sort addressing facial nerve stimulation in cochlear implants using model based diagnostics
topic Cochlear Implants
Model-based diagnostics
Facial nerve stimulation
3D cochlear implant modelling
User-specific model
UCTD
url http://hdl.handle.net/2263/73317