Improved Multiscale Entropy Technique with Nearest-Neighbor Moving-Average Kernel for Nonlinear and Nonstationary Short-Time Biomedical Signal Analysis

Figure 1

Schematic illustration to produce nearest neighbor moving-average time series with scale factor τ = 1 for the MSE algorithm. Blue squares represent raw time series data, and red dots represent the nearest-neighbor moving-averaged time series from which MSE is obtained. Brown squares represent the moving-window-averaging kernel for the raw second time point (X₂) that averages one neighbor on both sides with τ = 1 to produce the first new time series point Z₁⁽¹⁾. Similarly, green square produces Z₂⁽¹⁾ and so on (orange square) with the blue square producing the last time series point Z_i+1⁽¹⁾.