Spectral analysis of stabilographic signals by Fourier and Hilbert – Huang methods

Spectral analysis is an important pipeline step in digital signal processing and significantly effects on received information. Methodical distortions in the information leads to corruptions of properties contained in the signal, and these is an origin of mistaken analysis. The Fourier transform is widespread as such pipeline step, but it limited for processing non-stationary and nonlinear signals. The spectral analysis of the Hilbert-Huang transform has no such limits. The transform is based on the Hilbert spectrum and empirical mode decomposition. The research is focused on the application of the Hilbert-Huang transform to stabilogram data analyses. The method to exarticulate the control factor of the human stability mechanism is developed.