Linear and non-linear methods for analysis center pressure and its application in diabetic peripheral neuropathy: A systematic review

Abstract

Body stability problems can limit mobility, daily activities and is one of the risk factors for falls in elderly people, increasing in Diabetic Peripheral Neuropathy (DPN) population. Methods of stability analysis focus on Center of Pressure (CoP), using different parameters focused on a linear analysis, but currently several studies demonstrate that CoP can also present a nonlinear behavior that gives rise to other information to complement the stability evaluation. Currently, very few studies have done this type of analysis in DPN, for this reason, this systematic review has been conducted aiming to identify the most reliable and efficient parameters by linear and non-linear methods for CoP characterization in the antero-posterior direction (AP) under static conditions. In order to achieve this objective, a total of 16 articles were selected. Included articles examined CoP in diabetic patients with or without DPN. These studies suggest that linear and non-linear parameters to CoP analysis should be: Power Spectral Density, Range, Root Mean Square, Average Velocity, Detrended Fluctuation Analysis, Entropy, Hurst Exponent and Wavelet Transform. All parameters show reliability and statistical significance between groups. This approach may facilitate earlier detection of fall risk.