2015
DOI: 10.1186/s40463-015-0065-7
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A new diagnostic vestibular evoked response

Abstract: ObjectiveTo describe the development of a new clinically applicable method for assessing vestibular function in humans with particular application in Meniere’s disease.Study designSophisticated signal-processing techniques were applied to data from human subject undergoing tilts stimulating the otolith organs and semicircular canals. The most sensitive representatives of vestibular function were extracted as “features”.MethodsAfter careful consideration of expected response features, Electrovestibulography, a … Show more

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Cited by 14 publications
(15 citation statements)
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“…The trade‐off for utilizing a matched filter within the detection algorithm is that the NEER algorithm will inherently detect FP's even in pure noise. The ratio of real‐detected FPs from a noisy signal is dependent on the signal‐to‐noise ratio 10 . Thus, regardless of whether there is a Scarpa's ganglionectomy or not, the system will detect some FPs even in noise.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…The trade‐off for utilizing a matched filter within the detection algorithm is that the NEER algorithm will inherently detect FP's even in pure noise. The ratio of real‐detected FPs from a noisy signal is dependent on the signal‐to‐noise ratio 10 . Thus, regardless of whether there is a Scarpa's ganglionectomy or not, the system will detect some FPs even in noise.…”
Section: Discussionmentioning
confidence: 99%
“…The ratio of real-detected FPs from a noisy signal is dependent on the signal-to-noise ratio. 10 Thus, regardless of whether there is a Scarpa's ganglionectomy or not, the system will detect some FPs even in noise.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…25 In our previous studies, 4,8 we used the same dataset as in, 25 which was recorded at the EVestG Lab of the Alfred Hospital (Melbourne, Australia), for training the classifiers' algorithm. In that study, we investigated many features and extracted the characteristic features that were found statistically significant between the Meniere's and healthy individuals of the training dataset using only one tilt (side tilt), and designed an algorithm for classification of patients with Meniere's disease.…”
Section: Introductionmentioning
confidence: 99%
“…There is evidence that the EVestG responses are vestibuloacoustic and predominantly vestibular [1][2][3][4][5]. EVestG assessment has been applied to the detection of a number of pathologies including Alzheimer's Disease (AD) [5], Parkinson's Disease (PD) [6], Post-Concussion Syndrome (PCS [7][8][9], Vertiginous disorders [10][11][12], Major Depressive Disorder (MDD) [2], non-manic Bipolar Disorder [1] and the separation of Bipolar and MDD [13]. In previous studies we have collected Electrovestibulography recording data from Parkinson's Disease (PD), Alzheimer Disease (AD), Post-Concussion Syndrome (PCS), Major Depression and Bipolar Depression populations as well as a pool of healthy controls (N = 117).…”
Section: Introductionmentioning
confidence: 99%