Analysis of electrode impedance and its subcomponents for lateral wall, mid-scala, and perimodiolar electrodes in cochlear implants.


Journal

Cochlear implants international
ISSN: 1754-7628
Titre abrégé: Cochlear Implants Int
Pays: England
ID NLM: 101121166

Informations de publication

Date de publication:
Mar 2022
Historique:
pubmed: 14 12 2021
medline: 26 4 2022
entrez: 13 12 2021
Statut: ppublish

Résumé

Electrode impedances play an important role in cochlear implant patient management. During clinical visits, electrode impedances are calculated from a single point voltage waveform. In the present study, multipoint electrode impedance analysis was performed to study electrode impedance and its subcomponents in patients with three different types of cochlear implant electrode arrays. Voltage waveforms were measured at six different time points during the cathodic phase of a biphasic pulse in forty-seven cochlear implant patients with perimodiolar, mid-scala, or lateral wall electrode arrays. Multipoint electrode impedances were used to determine access resistance and polarization impedance. Access resistance of approximately 5 kΩ was calculated across the three different electrode arrays. Mid-scala electrodes showed a smaller increase in impedances as a function of pulse duration compared to the other electrodes. Patients with lower impedances showed higher capacitance and lower resistance, suggesting that differences in electrochemical reaction at the electrodes' surface can influence impedances in cochlear implants. Analysis of cochlear implant electrode impedances and their subcomponents provides valuable information about resistance to the flow of current between stimulating and return electrodes, and build an understanding of the contribution of electrochemical processes used to deliver electrical stimulation to the auditory nerve.

Identifiants

pubmed: 34895078
doi: 10.1080/14670100.2021.2000734
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

87-94

Auteurs

Aniket A Saoji (AA)

Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic School of Medicine, Rochester, MN, USA.

Madison Graham (M)

Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic School of Medicine, Rochester, MN, USA.

Amy Stein (A)

Research and Technology, Advanced Bionics, Valencia, CA, USA.

Kanthaiah Koka (K)

Research and Technology, Advanced Bionics, Valencia, CA, USA.

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Classifications MeSH