2021
DOI: 10.3389/fpsyg.2020.611517
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Applications of Phenomenological Loudness Models to Cochlear Implants

Abstract: Cochlear implants electrically stimulate surviving auditory neurons in the cochlea to provide severely or profoundly deaf people with access to hearing. Signal processing strategies derive frequency-specific information from the acoustic signal and code amplitude changes in frequency bands onto amplitude changes of current pulses emitted by the tonotopically arranged intracochlear electrodes. This article first describes how parameters of the electrical stimulation influence the loudness evoked and then summar… Show more

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Cited by 5 publications
(2 citation statements)
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“…They did not experience any FNS with stimulus MMA, but only reached ''medium'' loudness, even at the maximum output (60 nC/phase). This limited loudness could arise from compliance limitations of the device, poor loudness growth at high stimulation levels, or the effect of very low pulse rate on perceived loudness when testing a single electrode (28,29). However, additional calculations ruled out compliance as the cause of loudness plateaued.…”
Section: Postoperative Loudness Growthmentioning
confidence: 99%
“…They did not experience any FNS with stimulus MMA, but only reached ''medium'' loudness, even at the maximum output (60 nC/phase). This limited loudness could arise from compliance limitations of the device, poor loudness growth at high stimulation levels, or the effect of very low pulse rate on perceived loudness when testing a single electrode (28,29). However, additional calculations ruled out compliance as the cause of loudness plateaued.…”
Section: Postoperative Loudness Growthmentioning
confidence: 99%
“…For example, for the peripheral auditory system, a variety of different model types have been developed, such as biophysical [12][13][14][15][16] and phenomenological AN models [17][18][19][20][21][22][23][24], and 3D implanted cochlear models [25][26][27][28][29][30][31]. By combining these models with simulations of CI signal processing, it has enabled the investigation of broader research topics, such as simulating loudness perception [32,33], sound source localization [34,35], and speech intelligibility [36,37].…”
Section: Introductionmentioning
confidence: 99%