Fractal analysis of artificial and cerebellar signals at sampling frequencies of 32-4096 Hz

Abstract

The aim of this study was to investigate the effects of varying sampling frequencies on fractal analysis of artificial and cerebellar signals. Applying Higuchi's algorithm, we calculated fractal dimension (FD) values of sinus function and rat cerebellar signals (before and after acute brain injury). Various sampling frequences of an artificial signal (as of sinus function, for example) may essentially change the function graphic and therefore the corresponding fractal dimension. Following the acute brain injury, we found an increase of FD values of cerebellar signals at sampling frequencies of 128, 256, 512 and 1024 Hz. We concluded that optimum sampling frequency range of cerebellar signals for FD analysis is 128-1024 Hz.