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Updated: Dec 31, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

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Wearable Digital Speech Processor for Cochlear Implants Using a TMS320C25.

Norbert Dillier1, Christian Senn1, Thomas Schlatter1

  • 1Department of Otorhinolaryngology, University Hospital, Zürich and the Institute for Biomedical Engineering, Zürich University, and the Swiss Federal Institute of Technology, Zürich, Switzerland.

Acta Oto-Laryngologica
|January 8, 2020
PubMed
Summary
This summary is machine-generated.

A new battery-operated sound processor was developed for the Nucleus-22 cochlear implant (CI), enabling advanced signal processing and noise reduction for improved hearing aid functionality.

Keywords:
auditory prosthesiselectrical stimulationvocoder

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Auditory Neuroscience

Background:

  • Cochlear implants (CI) aim to restore hearing by bypassing damaged cochlear structures.
  • Advanced signal processing is crucial for optimizing CI performance and speech understanding.
  • Existing CI sound processors have limitations in programmability and processing capabilities.

Purpose of the Study:

  • To develop a programmable, battery-operated sound processor for the Nucleus-22 cochlear implant (CI).
  • To enable flexible implementation of various sound processing strategies and adaptive noise reduction.
  • To provide a platform for acoustic verification of CI sound processing algorithms.

Main Methods:

  • A single-chip Digital Signal Processor (DSP), TMS320C25, was utilized for processor design.
  • A digital encoder interface was developed for seamless integration with the Nucleus-22 CI.
  • Electrically erasable memory was incorporated for program and parameter storage, allowing host computer updates.
  • An analog output was included for single-channel stimulation and acoustic verification.

Main Results:

  • The processor supports quasi-simultaneous stimulation of up to 10 electrodes at a 300 Hz repetition rate.
  • Various processing strategies, including vocoders and filterbanks, can be implemented.
  • Sophisticated adaptive noise reduction algorithms are supported.
  • The device consumes approximately 1 Watt, requiring battery recharging after 11 hours of use.

Conclusions:

  • A versatile and programmable sound processor for the Nucleus-22 CI has been successfully developed.
  • The processor facilitates advanced signal processing and noise reduction, potentially enhancing CI user experience.
  • The design allows for future updates and customization of sound processing strategies.