Investigating the Non-linear characteristics of EVestG signals in healthy controls andthose of Meniere’s Disease.

Dizziness is among the top three reasons that patients seek medical attention, and one of the

most common disabling conditions that humans face. One of the diseases that may cause

dizziness is Meniere’s disease, which its correct and timely diagnosis and separation from

other causes of dizziness with current techniques are quite challenging. On the other hand,

Electrovestibulography (EVestG) is a new technique for recording vestibular responses in the

ear, and has shown very encouraging results for to show EVestG signals being capable of

discerning Meniere’s disease for both bilateral and unilateral impairments. This study is a

pilot study on the use of EVestG for diagnosis of Meniere’s disease by analyzing the EVestG

nonlinear fractal dimension characteristics. We will validate the fractal dimension

characteristics by statistical analysis between two groups of individuals with no dizziness and

those suspected of Meniere’s.

Faculty Supervisor:

Zahra Kazem-Moussavi

Student:

Partner:

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

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