Improve the quality of diagnostic parameters of an electronystagmogram using signal filtration in the time-frequency domain and adaptatively adjusted characteristics

The present study introduces the application of adaptative signal filtration in the time-frequency domain for the determination of the ENG (electronystagmogram) diagnostic parameters. In commonly used methods, the imprecision in phases delimitation-caused by constant-characteristics signal filtration-is the main source of inaccuracies in diagnostic parameters. Since the signal is very fragile and the acquisition conditions are not stable in time, the need for adaptive filtration seems to be evident. The use of the reversible wavelet transform of the ENG signal makes it possible to modify each “atom” of signal independently. 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