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DTSTAMP:20220215T151242Z
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DTSTART;TZID=Canada/Eastern:20220208T123000
DTEND;TZID=Canada/Eastern:20220208T133000
DESCRIPTION:Hearing impairment is an important health problem in Canada\, a
 nd its prevalence is expected to increase as the population ages. Despite 
 advances in hearing aid technology\, users still report high levels of dis
 satisfaction particularly in noisy environments. Recent developments in br
 ain-computer interfaces\, machine learning\, and improved understanding of
  how the brain processes speech is driving new research in brain-controlle
 d hearing aids. A long-term goal of this work is to automatically adjust t
 he processing of sound by the hearing aid based on signals produced by the
  brain in order to optimize the listening experience in different acoustic
  environments. As part of this effort\, our group has been interested in t
 he problem of improving hearing aid fitting\, often a challenging task\, u
 sing the speech-evoked frequency following response\, a type of evoked pot
 ential that can be recorded using surface electrodes. This response follow
 s the temporal and spectral patterns of speech\, and so could provide an i
 mportant window into human auditory processing of speech and how hearing a
 id settings should be adjusted to optimize the listening experience. This 
 talk will discuss the main challenges facing the development of a brain-co
 ntrolled hearing aid\, recent progress in this area\, and future prospects
 .\n\nSpeaker(s): Dr. Hilmi Dajani\, \n\nOttawa\, Ontario\, Canada\, Virtua
 l: https://events.vtools.ieee.org/m/302799
LOCATION:Ottawa\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.or
 g/m/302799
ORGANIZER:sreeramanr@sce.carleton.ca
SEQUENCE:3
SUMMARY:Towards the Development of a Brain-controlled Hearing Aid
URL;VALUE=URI:https://events.vtools.ieee.org/m/302799
X-ALT-DESC:Description: <br /><p>Hearing impairment is an important health 
 problem in Canada\, and its prevalence is expected to increase as the popu
 lation ages. Despite advances in hearing aid technology\, users still repo
 rt high levels of dissatisfaction particularly in noisy environments. Rece
 nt developments in brain-computer interfaces\, machine learning\, and impr
 oved understanding of how the brain processes speech is driving new resear
 ch in brain-controlled hearing aids. A long-term goal of this work is to a
 utomatically adjust the processing of sound by the hearing aid based on si
 gnals produced by the brain in order to optimize the listening experience 
 in different acoustic environments. As part of this effort\, our group has
  been interested in the problem of improving hearing aid fitting\, often a
  challenging task\, using the speech-evoked frequency following response\,
  a type of evoked potential that can be recorded using surface electrodes.
  This response follows the temporal and spectral patterns of speech\, and 
 so could provide an important window into human auditory processing of spe
 ech and how hearing aid settings should be adjusted to optimize the listen
 ing experience. This talk will discuss the main challenges facing the deve
 lopment of a brain-controlled hearing aid\, recent progress in this area\,
  and future prospects.</p>
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