Cochlear Implants are today a very successful treatment for people with
profound hearing losses. Today more than 500,000 people across the world have a
CI, a number that has grown dramatically over the past decade thanks to
significant improvements in CI technology.
Today deaf born children are implanted down to the age of 7months in
Denmark. With a CI a deaf born child can in many cases hear well enough to
participate in normal schools and can get normal jobs. Besides being a
significant economic benefit to society, CI implants can significantly increase
quality-of-life for deaf people or people with profound hearing losses.
One of the burden cochlear implant users must cope with is the mental
exertion that often result from continuously attempting to make sense of the
underspecified electrical stimuli delivered by the implant. Listening Effort is
thus increasingly becoming a key performance indicator in the evaluation of
success in cochlear implantation. Listening effort can be assessed
subjectively: by questionnaires and analog scores, or objectively using
measures such as pupil dilation during effort or heart-rate variability.
In order to better understand the links between subjective and objective
measures of listening effort and their consistency between lab- and real-life
evaluation, Oticon Medical has pursued a pilot clinical research study where CI
users underwent a baseline laboratory assessment of listening effort in various
intelligibility conditions and carried a smartphone together with a custom App
enabling the collection of objective real-life data on sound, ECG-signals as
well as punctual questionnaires relating to CI performance on a moment-base.
This MSc project aims at exploiting the data acquired during this study
Investigate whether measures objective measures of
Listening Effort assessed in the lab correlate with subjective measures
acquired in the field
Determine whether the soundscapes experienced by the
participants predict user-preferences associated with various CI sound
processing strategies, and user evaluation of listening effort in the field.
Conceptualize and prototype an analytics dashboard
enabling the assessment of study results and anticipating the translation of
the study concept to clinical audiology practice
The student will be given access to all study
results: questionnaires, .sql database extracted from smartphone logs, etc.
She/he will leverage relevant statistical analysis and statistical modelling
techniques to try and answer questions 1 and 2. All scripts will be written in
In collaboration withOticon Medical - François Patou