Related Experiment Video
Updated: Nov 10, 2025
10:58
A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals
Published on: February 14, 2014
13.5K
Signal processing & audio processors
Anandhan Dhanasingh1, Ingeborg Hochmair1
1MED-EL Elektromedizinische Geraete Gesellschaft m.b.H., Innsbruck, Austria.
Acta Oto-Laryngologica
|April 5, 2021
Summary
MED-EL
Area of Science:
- Biomedical Engineering
- Signal Processing
- Auditory Neuroscience
Background:
- Signal processing algorithms are crucial for audio processors in cochlear implants (CI).
- These algorithms aim to replicate natural hearing by processing acoustic signals into electrical impulses.
- The continuous interleaved sampling (CIS) strategy, developed by B. Wilson, significantly improved speech perception.
Observation:
- Modern CI sound processing builds upon the CIS strategy.
- MED-EL's translational research enhanced CIS by incorporating temporal fine structure information.
- Developments include deep electrode insertion for complete cochlear coverage and anatomy-based fitting (ABF).
Findings:
- Advanced signal processing in CIs improves speech understanding in noise and music enjoyment.
- Innovations like triphasic pulse stimulation and bimodal delay compensation enhance CI functionality.
- Hardware advancements, such as the RONDO single-unit audio processor, demonstrate progress.
Implications:
- These advancements offer a more natural hearing experience for cochlear implant users.
- Further research in signal processing and audio processors holds potential for improved auditory rehabilitation.
- The integration of temporal fine structure and hardware innovations marks a significant step in CI technology.
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