Figure 1.
Demonstrative graph of MSE derived parameters.
The profile of MSE can be assessed by a) its linear-fitted slope between certain scales which represent the complexity behaviors of the signals. The negative slope may indicate a random-like structure over certain timescale. B) the area under curve between certain scales that may represent its quantitative feature of the underlying physiological mechanisms in certain time scales (ex. area under scale1∼5 may respond to the ability of respiratory sinus arrhythmia).
Table 1.
The clinical characteristics between patients with and without using β-blockers.
Table 2.
Effect of the β-blockers on the autonomic activities, fractal properties and MSE.
Figure 2.
Very-low-frequency component (VLF; black, solid line), low-frequency component (LF; black, dashed line), short-term fractal exponent (DFAα1; black, dotted line), the summations of quantitative values of scale 1–5 (Area5; grey, dashed line), and the summations of quantitative values of scale 6–20 (Area6–20; grey, dash-dotted line) receiver operating characteristic (ROC) curves.
The area under each ROC curves (AUC) was calculated for each parameters. The AUCs were 0.735 for VLF, 0.784 for LF, 0.701 for DFAα1, 0.794 for Area5, and 0.858 for Area6–20.
Figure 3.
Using MSE Area6–2021.2 as a clinical predictor, significant difference in survival was noted from the Kaplan-Meier survival curve (P = 0.0014).
Table 3.
Prognostic value of parameters of HRV.