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Related Concept Videos

The Cochlea01:13

The Cochlea

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The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
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Expected Frequencies in Goodness-of-Fit Tests01:19

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A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
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Determination of Expected Frequency01:08

Determination of Expected Frequency

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Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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Frequency-dependent Selection01:21

Frequency-dependent Selection

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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Related Experiment Video

Updated: Oct 2, 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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Frequency Fitting Optimization Using Evolutionary Algorithm in Cochlear Implant Users with Bimodal Binaural Hearing.

Alexis Saadoun1, Antoine Schein1, Vincent Péan2

  • 1Department of Otolaryngology-Head and Neck Surgery, Dijon University Hospital, 21000 Dijon, France.

Brain Sciences
|February 25, 2022
PubMed
Summary
This summary is machine-generated.

An evolutionary algorithm (EA) improved cochlear implant (CI) frequency maps for bimodal hearing patients. This new fitting enhanced speech understanding in noise and overall sound quality, with most patients preferring the optimized settings.

Keywords:
binaural hearingcochlear implantevolutionary algorithmfittingquality of lifespeech discrimination in noise

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Area of Science:

  • Audiology
  • Biomedical Engineering
  • Computational Intelligence

Background:

  • Optimizing hearing for individuals with a unilateral cochlear implant (CI) and contralateral acoustic hearing presents significant challenges.
  • Evolutionary algorithms (EA) offer a method for exploring numerous potential solutions to optimize complex problems.

Purpose of the Study:

  • To develop and assess an EA-based protocol for refining the default frequency maps (fMAPs) in cochlear implants for patients with bimodal hearing.

Main Methods:

  • A monocentric prospective study involved 27 adult CI users with post-lingual deafness and functional contralateral hearing.
  • An EA-based fitting program was created to find optimal fMAPs, tested via speech recognition in noise (WRS).
  • Multiple fMAP generations were produced and tested, with participants evaluated pre- and post-fitting using WRS and sound quality questionnaires.

Main Results:

  • Speech recognition in noise significantly improved with EA-based fitting compared to default fMAPs (64.63% vs. 41.67%, p=0.0001).
  • Patients reported enhanced global sound quality and music perception after the EA-based fitting.
  • The majority of participants opted to retain the new fitting permanently.

Conclusions:

  • The EA-based protocol effectively improved speech discrimination in noisy environments for bimodal hearing users.
  • This optimization also led to better overall sound quality in bimodal binaural listening conditions.