
In this paper multifractal detrended fluctuation analysis (MFDFA) is used to study the human gait time series for normal and diseased sets. It is observed that long range correlation is primarily responsible for the origin of multifractality. The study reveals that the degree of multifractality is more for normal set compared to diseased set. However, the method fails to distinguish between the two diseased sets.
degree of multifractality, gait disease, Physiology, monofractal, Non-stationary time series, degree of correlation, QP1-981, Gait disease, non-stationary time series, multifractal
degree of multifractality, gait disease, Physiology, monofractal, Non-stationary time series, degree of correlation, QP1-981, Gait disease, non-stationary time series, multifractal
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