Date of Award
8-2024
Degree Type
Thesis
Degree Name
M.S.
Degree Program
Applied Physics
Department
Physics
Major Professor
Kendal Leftwich
Second Advisor
Sanichiro Yoshida
Third Advisor
William Coleman
Fourth Advisor
Ashok Puri
Abstract
The Advanced Bionics cochlear implant devices allocate static frequency bins to electrode channels based on the natural tonotopic organization of the cochlea. These frequency bins are wide and limited, especially in the lower range. Considering that the fundamental tones of the human voice and the primary melodic tones in music are in this lower range, it is important to have accurate representation of this frequency content. Here, adjustments to the frequency bin allocation algorithm used in the crowdsourced CI Hackathon code are made to allow a more accurate representation of the original signal. First, the frequency bins allocated to each channel will be overlapped to allow the lower channels to utilize the parabolic fit method of frequency estimation. Second, a higher order Fourier transform and peak finding algorithm will determine the most important frequencies present, then an adjusted electrode firing order will be found to avoid interference in electrode signals.
Recommended Citation
Keen, James H. Jr., "Methods for Improving Low Frequency Selection and Electrode Firing Order in Cochlear Implants" (2024). University of New Orleans Theses and Dissertations. 3190.
https://scholarworks.uno.edu/td/3190
Rights
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