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A Capacitive Cochlear Implant Electrode Array Sensing System to Discriminate Fold-Over Pattern

Authors :
Hou, Lei
Du, Xinli
Boulgouris, Nikolaos V.
Hafeez, Nauman
Coulson, Chris
Irving, Richard
Begg, Philip
Brett, Peter
Source :
Journal of Speech, Language, and Hearing Research. Sep 2021 64(9):3685-3696.
Publication Year :
2021

Abstract

Purpose: During insertion of the cochlear implant electrode array, the tip of the array may fold back on itself and can cause serious complications to patients. This article presents a sensing system for cochlear implantation in a cochlear model. The electrode array fold-over behaviors can be detected by analyzing capacitive information from the array tip. Method: Depending on the angle of the array tip against the cochlear inner wall when it enters the cochlear model, different insertion patterns of the electrode array could occur, including smooth insertion, buckling, and fold-over. The insertion force simulating the haptic feedback for surgeons and bipolar capacitance signals during the insertion progress were collected and compared. The Pearson correlation coefficient (PCC) was applied to the collected capacitive signals to discriminate the fold-over pattern. Results: Forty-six electrode array insertions were conducted and the deviation of the measured insertion force varies between a range of 20% and 30%. The capacitance values from electrode pair (1, 2) were recorded for analyzing. A threshold for the PCC is set to be 0.94 that can successfully discriminate the fold over insertions from the other two types of insertions, with a success rate of 97.83%. Conclusions: Capacitive measurement is an effective method for the detection of faulty insertions and the maximization of the outcome of cochlear implantation. The proposed capacitive sensing system can be used in other tissue implants in vessels, spinal cord, or heart.

Details

Language :
English
ISSN :
1092-4388
Volume :
64
Issue :
9
Database :
ERIC
Journal :
Journal of Speech, Language, and Hearing Research
Publication Type :
Academic Journal
Accession number :
EJ1313432
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1044/2021_JSLHR-21-00067