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Related Concept Videos

Sound Intensity Level00:53

Sound Intensity Level

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Humans perceive sound by hearing. The human ear helps sound waves reach the brain, which then interprets the waves and creates the perception of hearing. The loudness of the environment in which a person is located determines whether they can distinguish between different sound sources.
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and...
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The Pediatric Cochlear Implant Use Questionnaire: Assessing Habits and Barriers to Use.

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Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process
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Cochlear Implant Upper Stimulation Levels: eSRT vs. Loudness Scaling.

Jourdan T Holder1, Melissa R Henry, Andrina E MacDonald

  • 1Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.

Otology & Neurotology : Official Publication of the American Otological Society, American Neurotology Society [And] European Academy of Otology and Neurotology
|August 25, 2023
PubMed
Summary

Electrically evoked stapedial reflex thresholds (eSRTs) improve cochlear implant (CI) outcomes. eSRT-based maps enhance speech recognition and sound quality in CI users compared to traditional loudness scaling.

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Area of Science:

  • Audiology and Speech-Language Pathology
  • Biomedical Engineering
  • Neuroscience

Background:

  • Cochlear implants (CIs) aim to restore hearing by bypassing damaged cochlear structures.
  • Programming CI stimulation levels is crucial for optimizing auditory perception.
  • Traditional methods like loudness scaling can be subjective and time-consuming.

Purpose of the Study:

  • To compare speech recognition and sound quality between two CI programming strategies: loudness scaling and electrically evoked stapedial reflex thresholds (eSRTs).
  • To evaluate user preference for CI maps derived from these different programming methods.

Main Methods:

  • A double-blinded, acute comparison study was conducted.
  • Eighteen adult cochlear implant users (20 ears) participated.
  • Speech recognition in noise and sound quality ratings were assessed for eSRT-based and loudness scaling maps.

Main Results:

  • eSRT-based maps resulted in significantly higher word (8 percentage points) and sentence (9 percentage points) recognition in noise.
  • Sound quality ratings were 1.4 points higher with eSRT-based maps.
  • A strong preference for the eSRT-based map was observed, with 16 out of 20 participants preferring it.

Conclusions:

  • eSRT-based programming significantly enhances speech recognition and sound quality in cochlear implant users compared to loudness scaling.
  • The findings suggest that incorporating eSRTs into clinical practice can lead to improved outcomes for CI recipients.
  • Potential underestimation of benefits due to pre-enrollment eSRT measurements highlights the robustness of the eSRT method.