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Related Experiment Video

Updated: May 8, 2026

Robotic Cochlear Implantation for Direct Cochlear Access
08:06

Robotic Cochlear Implantation for Direct Cochlear Access

Published on: June 16, 2022

An automated insertion tool for cochlear implants with integrated force sensing capability.

Jan-Philipp Kobler, Daniel Beckmann, Thomas S Rau

    International Journal of Computer Assisted Radiology and Surgery
    |August 21, 2013
    PubMed
    Summary
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    This study presents an automated cochlear implant insertion tool with integrated force sensing. Accurate force measurement requires friction compensation, enabling complication detection during minimally invasive cochlear implantation.

    Area of Science:

    • Biomedical Engineering
    • Otolaryngology
    • Surgical Instrumentation

    Background:

    • Minimally invasive cochlear implantation aims to preserve residual hearing.
    • Geometric constraints necessitate specialized tools for atraumatic electrode insertion.
    • Protecting intracochlear membranes with sensory hair cells is crucial.

    Purpose of the Study:

    • To present an automated insertion tool for cochlear implants with integrated force sensing.
    • To develop a test bench for validating the insertion tool under controlled conditions.
    • To assess the tool's capability in preserving intracochlear structures during implantation.

    Main Methods:

    • An automated insertion tool with a custom, integrated force sensor (30 μN resolution) was developed.

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    Last Updated: May 8, 2026

    Robotic Cochlear Implantation for Direct Cochlear Access
    08:06

    Robotic Cochlear Implantation for Direct Cochlear Access

    Published on: June 16, 2022

    Performing Repeated Intraoperative Impedance Telemetry Measurements during Cochlear Implantation
    06:54

    Performing Repeated Intraoperative Impedance Telemetry Measurements during Cochlear Implantation

    Published on: August 4, 2023

  • A novel test bench was designed for reproducible insertion studies.
  • Experimental validation was performed on acrylic cochlear phantoms and temporal bone specimens.

    • Main Results:

    • Friction between the electrode carrier and guide tube affects force sensor output.
    • A method for friction compensation was developed and experimentally validated.
    • Mean accuracy of (4.0±3.2) mN was achieved after friction identification.

    Conclusions:

    • The automated insertion tool can detect complications during electrode insertion via force feedback.
    • Accurate force sensing necessitates prior identification of frictional forces.
    • The tool is capable of automatically executing precise insertion trajectories.