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Updated: May 31, 2026

Performing Repeated Intraoperative Impedance Telemetry Measurements during Cochlear Implantation
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Performing Repeated Intraoperative Impedance Telemetry Measurements during Cochlear Implantation

Published on: August 4, 2023

RFcap: a software analysis tool for multichannel cochlear implant signals.

Wai Kong Lai1, Norbert Dillier

  • 1ENT Department, University Hospital Zurich, Switzerland. waikong.lai@usz.ch

Cochlear Implants International
|July 19, 2011
PubMed
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This study presents RFcap, a Matlab application for analyzing cochlear implant (CI) speech processor signals. It aids in developing and diagnosing CI hardware and software by capturing and processing radio frequency (RF)-coded data.

Area of Science:

  • Audiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Analyzing cochlear implant (CI) speech processor output is crucial for software/hardware development and diagnostics.
  • This requires specialized hardware to receive and decode radio frequency (RF)-coded signals, followed by data processing.
  • Existing tools include the Nucleus Implant Communicator and Matlab Toolbox for the Nucleus CI system.

Purpose of the Study:

  • To introduce RFcap, a standalone Matlab application.
  • To provide functionality for capturing, displaying, and analyzing RF-coded signals for specific Nucleus CI models.
  • To support research and development in CI technology.

Main Methods:

  • Development of a standalone Matlab application named RFcap.

Related Experiment Videos

Last Updated: May 31, 2026

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

  • Encapsulation of relevant functions for signal capture, display, and analysis.
  • Utilizing PCI-IF6 clinical hardware and Nucleus Matlab Toolbox for signal reception and decoding.

    • Main Results:

    • RFcap successfully captures, displays, and analyzes RF-coded signals.
    • The application is designed for Nucleus CI24M/R, CI24RE, and CI500 multichannel CIs.
    • Provides a consolidated platform for researchers and developers.

    Conclusions:

    • RFcap offers a valuable tool for the development and diagnostic analysis of cochlear implant speech processor signals.
    • It streamlines the process of working with RF-coded data from specific Nucleus CI systems.
    • Facilitates advancements in cochlear implant technology through accessible signal analysis.