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Development and Characterization of an Electrocochleography-Guided Robotics-Assisted Cochlear Implant Array Insertion System

Overview
Publisher Wiley
Date 2021 Oct 5
PMID 34609909
Citations 8
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Abstract

Objective: Electrocochleography (ECochG) is increasingly being used during cochlear implant (CI) surgery to detect and mitigate insertion-related intracochlear trauma, where a drop in ECochG signal has been shown to correlate with a decline in hearing outcomes. In this study, an ECochG-guided robotics-assisted CI insertion system was developed and characterized that provides controlled and consistent electrode array insertions while monitoring and adapting to real-time ECochG signals.

Study Design: Experimental research.

Setting: A research laboratory and animal testing facility.

Methods: A proof-of-concept benchtop study evaluated the ability of the system to detect simulated ECochG signal changes and robotically adapt the insertion. Additionally, the ECochG-guided insertion system was evaluated in a pilot in vivo sheep study to characterize the signal-to-noise ratio and amplitude of ECochG recordings during robotics-assisted insertions. The system comprises an electrode array insertion drive unit, an extracochlear recording electrode module, and a control console that interfaces with both components and the surgeon.

Results: The system exhibited a microvolt signal resolution and a response time <100 milliseconds after signal change detection, indicating that the system can detect changes and respond faster than a human. Additionally, animal results demonstrated that the system was capable of recording ECochG signals with a high signal-to-noise ratio and sufficient amplitude.

Conclusion: An ECochG-guided robotics-assisted CI insertion system can detect real-time drops in ECochG signals during electrode array insertions and immediately alter the insertion motion. The system may provide a surgeon the means to monitor and reduce CI insertion-related trauma beyond manual insertion techniques for improved CI hearing outcomes.

Citing Articles

ZH-ECochG Bode Plot: A Novel Approach to Visualize Electrocochleographic Data in Cochlear Implant Users.

Geys M, Sijgers L, Dobrev I, Dalbert A, Roosli C, Pfiffner F J Clin Med. 2024; 13(12).

PMID: 38929998 PMC: 11205027. DOI: 10.3390/jcm13123470.


Hampshire Sheep as a Large-Animal Model for Cochlear Implantation.

Waring N, Chern A, Vilarello B, Cheng Y, Zhou C, Lang J J Assoc Res Otolaryngol. 2024; 25(3):277-284.

PMID: 38622382 PMC: 11150341. DOI: 10.1007/s10162-024-00946-1.


Evaluation of an impedance-based method to monitor the insertion of the electrode array during cochlear implantation.

Gottfried T, Galeazzi P, Foger A, Dejaco D, Troger A, Fischer N Eur Arch Otorhinolaryngol. 2024; 281(8):4121-4131.

PMID: 38564010 PMC: 11266372. DOI: 10.1007/s00405-024-08584-2.


Combining Intraoperative Electrocochleography with Robotics-Assisted Electrode Array Insertion.

Kashani R, Kocharyan A, Bennion D, Scheperle R, Etler C, Oleson J Otol Neurotol. 2024; 45(2):143-149.

PMID: 38206061 PMC: 10786337. DOI: 10.1097/MAO.0000000000004094.


Evaluation of Real-Time Intracochlear Electrocochleography for Guiding Cochlear Implant Electrode Array Position.

Scheperle R, Etler C, Oleson J, Dunn C, Kashani R, Claussen A J Clin Med. 2023; 12(23).

PMID: 38068461 PMC: 10707171. DOI: 10.3390/jcm12237409.


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