Determination of the Diagnostic Parameters of an Electronystagmogram Using Signal Filtration in the Time-Frequency Domain and Adaptatively Selected Characteristics
نویسنده
چکیده
The present study introduces the application of adaptative signal filtration in the time-frequency domain using reversible wavelet transformations for the determination of the electronystagmogram diagnostic parameters. A significant improvement in quality of the calculated diagnostic parameters has been achieved, expressed by a simultaneous occurrence of minimum inaccuracies and a minimum number of interpretation errors.
منابع مشابه
An Improved Method of Nystagmus Segmentation Using Adaptive Modification of Time-Frequency Signal Representation
The present work describes an application of adaptative signal filtration in the time-scale domain using a pair of reversible wavelet transformations to the precise delimitation of the nystagmus quick and slow phases in an electronystagmogram. In common used methods the main source of inaccuracies in diagnostics parameters is the imprecision in phases delimitation (nystagmus segmentation) cause...
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