Artificial neural network posturography detects the transition of vestibular neuritis to phobic postural vertigo
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Artificial neural networks (ANNW), described in detail by Duda et al. , can be efficiently used to master complex data sets by applying computational analysis for routine clinical uses, for example, to classify the risk of falls in the elderly on the basis of an analysis of balance control during gait . In an earlier study we used ANNW posturography to identify typical postural sway patterns that allow the diagnosis of various balance disorders . Body sway was measured by means of posturography during ten test conditions of increasing difficulty. These included standing with eyes open or eyes closed, with head extended backward, standing on a slab of foam rubber, and tandem stance. Sixteen values were selected from the calculated parameters of each single condition, such as sway path, root mean square values, and Fourier analysis. This means that a total of 160 values were entered into the artificial neural network (for methods, see ). In this way a standard...
KeywordsVestibular Disorder Vestibular Neuritis Retinal Slip Horizontal Semicircular Canal Caloric Irrigation
The authors thank Judy Benson for copyediting the manuscript. The study was supported by the a BMBF grant (no. 01EO0901) to the IFBLMU and by the Hertie Foundation.
Conflict of interest