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Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process
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AutoAdaptive: A Noise Level-Sensitive Beamformer for MED EL Cochlear Implant Patients
Michael F Dorman1, Sarah Cook Natale1
1Arizona State University, Tempe, AZ.
Journal of the American Academy of Audiology
|November 13, 2018
Summary
A new AutoAdaptive feature for cochlear implants (CIs) improves speech understanding in noise by automatically switching between omnidirectional and directional modes. This system benefits CI users by enhancing audibility from the front in loud environments without manual adjustments.
Area of Science:
- Audiology
- Biomedical Engineering
- Signal Processing
Background:
- Directional microphones in cochlear implants (CIs) improve speech understanding from the front but reduce it from the back.
- Optimizing CI microphone systems involves switching between omnidirectional and directional modes based on noise levels.
Purpose of the Study:
- To evaluate a new AutoAdaptive signal processing algorithm for MED EL CIs.
- To assess speech understanding in noise with the AutoAdaptive feature.
Main Methods:
- Seven bilateral CI users participated in a simulated restaurant environment.
- Speech was presented from the front (0°) and back (180°) at 45, 55, and 65 dB SPL noise levels.
- Speech understanding was measured using AzBio sentence lists and analyzed via repeated measures ANOVA.
Main Results:
- A significant interaction between noise level and speaker location was observed.
- At 65 dB SPL, speech understanding scores were significantly higher for front-presented speech and lower for back-presented speech.
- At lower noise levels (45 and 55 dB SPL), no significant difference in scores between front and back was found.
Conclusions:
- The AutoAdaptive feature offers omnidirectional benefit in low noise and beamformer benefit in high noise.
- This automatic switching enhances speech intelligibility for cochlear implant users in varying noise conditions.
- The system eliminates the need for manual program switching, improving user convenience.
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