A capacitive cochlear implant electrode array sensing system to discriminate fold-over pattern.
Author
Hou, LeiDu, Xinli
Boulgouris, Nikolaos V
Hafeez, Nauman
Coulson, Chris
Irving, Richard
Begg, Philip
Brett, Peter
Publication date
2021-08-18Subject
Ear, Nose & Throat
Metadata
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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.Citation
Hou L, Du X, Boulgouris NV, Hafeez N, Coulson C, Irving R, Begg P, Brett P. A Capacitive Cochlear Implant Electrode Array Sensing System to Discriminate Fold-Over Pattern. J Speech Lang Hear Res. 2021 Sep 14;64(9):3685-3696. doi: 10.1044/2021_JSLHR-21-00067. Epub 2021 Aug 18Type
ArticleAdditional Links
http://jslhr.pubs.asha.org/PMID
34407380ae974a485f413a2113503eed53cd6c53
10.1044/2021_JSLHR-21-00067