Topic: Modelling Cochlear Implant (CI) artifacts in EEG

Topic: Modelling Cochlear Implant (CI) artifacts in EEG

Personal details

Title Modelling Cochlear Implant (CI) artifacts in EEG
Description

Cochlear implants (CI) are implanted neuroprosthesis that provide individuals with profound sensorineural hearing loss with sound perception while bypassing damaged or non-functioning hair cells in the ear.  Cochlear implants consist of an external sound processor and an electrode array implanted in the in the inner ear, which electrically stimulates the cochlear nerve. 

In our lab, we investigate auditory processing in cochlear implant users with electroencephalography (EEG). One prevalent problem with this are the electrical artefacts caused by the device. To better understand its impact on scalp EEG recordings, we would like to model the propagation of CI artifacts using an volume conduction head model, and explore different signal cleaning strategies. 

 

Your tasks:

-          Literature review on CI artifacts and artifact cleaning strategies for EEG

-          Recording of CI artifacts and scalp EEG data

-          Implementation of a volume conduction model in MATLAB and Brainstorm

-          Comparison of different artifact cleaning methods (ICA, regression-based, etc.)

 

What we expect from you:

-          You like coding and are able to write your own scripts

-          You are interested in learning about EEG signal processing strategies and EEG data analysis

-          Prior experience with Matlab (or willingness to learn Matlab on the way)

-          Prior experience with EEG is beneficial

Home institution Klinische Audiologie
Associated institutions
  • Department of Neurosciences
Type of work practical / application-focused
Type of thesis Research Module
Author Dr. rer. nat. Sebastian Puschmann
Status available
Problem statement

-          Literature review on CI artifacts and artifact cleaning strategies for EEG

-          Recording of CI artifacts and scalp EEG data

-          Implementation of a volume conduction model in MATLAB and Brainstorm

-          Comparison of different artifact cleaning methods (ICA, regression-based, etc.)

Requirement

-          You like coding and are able to write your own scripts

-          You are interested in learning about EEG signal processing strategies and EEG data analysis

-          Prior experience with Matlab (or willingness to learn Matlab on the way)

-          Prior experience with EEG is beneficial

Created 06/10/25

Study data

Departments
Degree programmes
  • Master's Programme Physics, Engineering and Medicine
  • Master's Programme Neuroscience
  • Master's Programme Neurocognitive Psychology
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