Date of Award
11-28-2016
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Coskun Bayrak
Abstract
Tinnitus is hearing a sound of buzzing, ringing, whooshing, pulsing, whistling, hissing, when there are no actual sounds existing. The individual can hear ocean waves, dial tones, crickets and even music or other sounds specially when the background is quiet. According to the statistics from the American Tinnitus Association (ATA) [1], these symptoms affect twenty percent of populations life. It could affect the quality of the individual’s life in couple of ways, the person may have difficulty concentrating and may suffer from insomnia. Due to the complexity of the problem, there is no Food and Drug Administration (FDA) approved treatment for the symptom at this time. Hence, this study aims at developing a logical and mathematical pattern extraction model, based on the evoked potentials of the brain to better understand the differences between a controlled subject and a subject suffering from Tinnitus symptoms, which is the initial step for more analysis on the brain to find an absolute treatment.
Recommended Citation
Emami, Yasaman, "EEG Analysis of Evoked Potentials of the Brain to Develop a Mathematical Model for Classifying Tinnitus Datasets" (2016). Theses and Dissertations. 716.
https://research.ualr.edu/etd/716
