Most suitable mother wavelet for the analysis of fractal properties of stride interval time series via the average wavelet coefficient

Human gait is a complex interaction of many nonlinear systems and stride intervals exhibit self-similarity over long time scales that can be modeled as a fractal process. The scaling exponent represents the fractal degree and can be interpreted as a “biomarker” of relative diseases. The previous study showed that the average wavelet method provides the most accurate results to estimate this scaling exponent when applied to stride interval time series. The purpose of this paper is to determine the most suitable mother wavelet for the average wavelet method.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Source Type: research