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Electrocochleography (ECOG) is a low-amplitude electrophysiological measurement technique primarily used as an assistive tool for the diagnosis of Ménière’s disease. Of the two types of ECOG, transtympanic (TT) and extratympanic (ET), ET-ECOG has gained popularity due to its noninvasive nature; however, it suffers from increased susceptibility to various(More)
Recent findings suggest that cortical gamma aminobutyric acid (GABA) levels may provide a surrogate marker for a number of psychiatric and neurological conditions, as well as behavioural traits. However, the natural variability of GABA levels in the human brain over long periods of time (>8 days) has not yet been studied. The purpose of this work was to(More)
BACKGROUND Inner ear evoked potentials are small amplitude (<1 μVpk) signals that require a low noise signal acquisition protocol for successful extraction; an existing such technique is Electrocochleography (ECOG). A novel variant of ECOG called Electrovestibulography (EVestG) is currently investigated by our group, which captures vestibular responses to a(More)
In this work, a physical model that simulates electrical activity of the inner ear has been developed. The purpose is to evaluate extraction of vestibular field potentials (FPs) in the presence of various sources of noise by a proprietary software algorithm. The ear model is constructed of gelatin as an alternative to human tissue where independently driven(More)
GOAL The aim of this study was to investigate methods to improve signal-to-noise ratio (SNR) of extratympanic electrocochleography (ET-ECOG); a low SNR electrophysiological measurement technique. The current standard for ET-ECOG involves acquiring and uniform averaging ∼1000 evoked responses to reveal the signal of interest. Weighted averaging is commonly(More)
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