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A novel capacitive cochlear implant electrode array sensing system to discriminate failure patterns.

Hou, Lei
; 
Du, Xinli
; 
Boulgouris, Nikolaos
; 
Coulson, Chris
; 
Irving, Richard
; 
Begg, Philip
; 
Brett, Peter
Abstract
Objectives: The research is to propose a sensing system to ensure the electrode array being correctly placed inside the cochlea. Instead of applying extra sensors to the array, the capacitive information from multiple points of the array is gathered and analyzed to determine the state and behavior of the electrode array. Methods: The sensing system measures electrode bipolar capacitances between multiple pairs of electrodes during the insertion. The principal component analysis (PCA) method is then applied to analysis the recorded data to discriminate insertion patterns. Results: In total, 384 capacitance profiles from electrode pair (1, 2), and electrode pair (15, 16) were analyzed and compared. In an account of both the electrode pairs, the threshold distance was examined to be d = 1.99 at the average comparison type. The experiment results showed the success rate is over 80% to identify buckling during the insertion on a 2D cochlear model. Conclusion: This early-stage investigation shows great potential compared with the current practice, which does not provide any feedback to surgeons. The system demonstrates the feasibility of a sensing method for auto-reoccupation electrodes behavior, and it will help surgeons to avoid misplacement of the electrode array inside the cochlea.
MIDER Authors
Coulson, Christopher
Irving, Richard
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Date
2021-06-01
Type
Article
Subject
Ear, Nose & Throat
Collections
UHB Ear Nose and Throat
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Reports
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Citation
Hou L, Du X, Boulgouris N, Coulson C, Irving R, Begg P, Brett P. A Novel Capacitive Cochlear Implant Electrode Array Sensing System to Discriminate Failure Patterns. Otol Neurotol. 2021 Jun 1;42(5):713-720. doi: 10.1097/MAO.0000000000003054
Journal / Source Title
Otology & Neurotology
DOI
10.1097/MAO.0000000000003054
URI
http://hdl.handle.net/20.500.14200/7617
PMID
33661236
Publisher
Lippincott Williams & Wilkins
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