New software helps improve cochlear implant tuning
process
By Jill Pease
Editor: Anyone who has ever attended a cochlear implant mapping knows
that it's a pretty subjective process in which both the user and the
audiologist make judgments regarding device setting. Now scientists at the
University of Florida are working to develop more objective ways to
program these devices. Here's the press release.
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October 2008
Cochlear implants provide a sense of sound to people who are profoundly
deaf, dramatic results for patients who may have been unable to hear for
many years or even in a lifetime. But the process of fine-tuning the
device for a patient's optimal hearing could be more efficient and
accurate, University of Florida researchers say.
With the help of a new grant, UF investigators and research partners at
Audigence Inc. can now test the cochlear implant optimization software
program they jointly developed with a group of 120 implant recipients and
hearing aid users.
UF investigators, led by Alice Holmes, Ph.D., received a $78,000 grant
from Audigence and a matching grant from UF's Florida High Tech Corridor
Council, bringing the total award to $156,000.
In a pilot study of the optimization software, UF researchers found
that the new software program resulted in improved performance in all
outcome measures, including speech perception and the ability to hear over
background noise. Seventeen of the 20 cochlear implant recipients who
participated in the research preferred to continue using the new optimized
programming over traditional cochlear implant settings. Holmes presented
the research findings at the 2008 Institute for the Academy of
Rehabilitative Audiology Sept. 12 in Portland, Ore.
A cochlear implant is a small electronic device that is surgically
placed under the skin behind the ear. It works by converting sound waves
into electronic impulses that are sent to the brain. After surgery,
patients are evaluated by an audiologist to "fit" the cochlear implant
processor by manipulating implant settings and asking the patient if the
changes help him or her understand speech better. The process often takes
multiple clinic visits and several months to complete.
"This traditional approach for cochlear implant device tuning has
several pitfalls," said Holmes, a professor of audiology in the department
of communicative disorders at the College of Public Health and Health
Professions. "First, there are several million combinations of device
parameters making it impossible to evaluate a patient's performance for
every possible combination. This method also relies on the patient's
subjective judgment, which is typically variable and inconsistent and may
not reflect the best device settings for their speech recognition."
The new software program, known as Clarujust, is the first standard
analytical approach to tuning cochlear implants. The program tests the
patient's hearing using actual speech sounds, not the tones used in the
traditional tuning process. The software program quickly analyzes the
patient's speech comprehension to determine the best cochlear implant
settings for a particular patient.
The idea for the optimization software came when Lee Krause, a computer
engineer, received a cochlear implant in 2002.
"I realized during the tuning process that I was never going to achieve
my objective of being able to better understand speech," Krause said.
"Working with my audiologist, Dr. Alice Holmes, I convinced her that there
had to be a better way to tune the device and that we could utilize some
of the technologies that were emerging associated with artificial
intelligence to help us solve the problem."
Krause founded Audigence and worked to develop the software with
Holmes; Rahul Shrivastav, Ph.D., an associate professor in the department
of communication sciences and disorders in UF's College of Liberal Arts
and Sciences; and Purvis Bedenbaugh, a former UF professor.
The researchers' new study will focus on evaluating and refining the
optimization procedure for cochlear implants and researching techniques to
improve speech intelligibility for digital hearing aid users.