Abstract
Either Fractional Brownian motion (FBM) or fractional Gaussian noise (FGN), depending on characteristic of real signal, usually provides a useful model to describe biomedical signals. Its discrete counterpart of the FBM or FGN, referred to as the discrete-time FBM (DFBM) or discrete-time FGN (DFGN), is used to analyze them in practical applications. This class of signals possesses long-term correlation and 1/f-type spectral behavior. In general, these signals appear to be irregular property in macroscopic view. However, in physiological signals they maybe exist certain regularity or rhythm in microscopic view in order to achieve the purpose of synergia. To find out these phenomena, the wavelet transform is invoked to decompose these signals and extract possible hidden characteristics. In this study, we first calculate fractal dimension of the electromyogram (EMG) of external urethral sphincter (EUS) to determine where the voiding phase is. Then sample a piece of signal during voiding phase to further investigate regularity or rhythm. Results indicate that certain regularity or rhythm indeed exists in irregular appearance.
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