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Design Example01:23

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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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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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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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A Smartphone Application for Customized Frequency Table Selection in Cochlear Implants.

Daniel Jethanamest1, Mahan Azadpour, Annette M Zeman

  • 1Department of Otolaryngology-Head and Neck Surgery, New York University School of Medicine, New York, New York.

Otology & Neurotology : Official Publication of the American Otological Society, American Neurotology Society [And] European Academy of Otology and Neurotology
|August 15, 2017
PubMed
Summary
This summary is machine-generated.

A new smartphone app allows cochlear implant (CI) users to select their own frequency allocation tables (FATs), potentially improving sound quality. This self-selection did not negatively impact speech perception compared to standard FATs.

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Area of Science:

  • Audiology
  • Biomedical Engineering
  • Neuroscience

Background:

  • Cochlear implants (CIs) use frequency allocation tables (FATs) to map sound frequencies to electrode locations.
  • Standard FATs may not suit all postlingually deafened CI users due to individual cochlear differences.
  • Current methods lack tools for real-time, personalized FAT selection.

Purpose of the Study:

  • Develop a novel smartphone application for interactive, real-time FAT selection in CI users.
  • Evaluate the impact of self-selected FATs on speech perception and sound quality in a pilot study.

Main Methods:

  • Developed an iOS application to preprocess auditory input and enable real-time FAT selection.
  • Validated the application's output using electrodograms.
  • Conducted a pilot study with six CI subjects, assessing speech perception with word recognition tests.

Main Results:

  • All participants successfully used the app to select a preferred FAT, differing from their standard clinical setting.
  • Self-selected FATs were judged to provide better sound quality.
  • Speech perception scores with self-selected FATs were comparable to those with default FATs (29.5% vs. 28.5% CNC scores).

Conclusions:

  • A portable smartphone application empowers CI users to self-select FATs in real time.
  • Self-selected FATs show potential for improving sound quality without compromising speech perception.
  • This tool may enhance future cochlear implant fitting strategies.