Table 1.

Summary of the test results for each of the five methods following the Shapiro–Wilk normality test.

Condition	modGauss	GAFD	AR	Welch	Wavelet
$\alpha$ (Whole)	$6.52\times {10}^{-8}$	$4.81\times {10}^{-8}$	$1.65\times {10}^{-7}$	$1.49\times {10}^{-7}$	$6.01\times {10}^{-8}$
$\alpha$ (Supine)	$3.37\times {10}^{-5}$	$2.13\times {10}^{-5}$	$8.18\times {10}^{-5}$	$7.51\times {10}^{-5}$	$3.38\times {10}^{-5}$
$\alpha$ (Standing)	$5.30\times {10}^{-3}$	$1.03\times {10}^{-2}$	$2.35\times {10}^{-2}$	$5.55\times {10}^{-3}$	$7.01\times {10}^{-3}$
${\alpha }_{LF}$ (Whole)	$7.95\times {10}^{-9}$	$7.28\times {10}^{-9}$	$6.85\times {10}^{-9}$	$9.05\times {10}^{-9}$	$3.24\times {10}^{-10}$
${\alpha }_{LF}$ (Supine)	$2.77\times {10}^{-6}$	$1.97\times {10}^{-6}$	$2.21\times {10}^{-6}$	$2.82\times {10}^{-6}$	$3.25\times {10}^{-7}$
${\alpha }_{LF}$ (Standing)	$1.12\times {10}^{-2}$	$1.60\times {10}^{-2}$	$9.84\times {10}^{-3}$	$1.26\times {10}^{-2}$	$1.58\times {10}^{-2}$
${\alpha }_{HF}$ (Whole)	$8.85\times {10}^{-7}$	$2.99\times {10}^{-7}$	$1.18\times {10}^{-6}$	$1.15\times {10}^{-6}$	$7.77\times {10}^{-6}$
${\alpha }_{HF}$ (Supine)	$3.58\times {10}^{-4}$	$2.11\times {10}^{-4}$	$9.86\times {10}^{-4}$	$8.33\times {10}^{-4}$	$4.71\times {10}^{-3}$
${\alpha }_{HF}$ (Standing)	$2.10\times {10}^{-3}$	$3.13\times {10}^{-3}$	$1.19\times {10}^{-2}$	$1.92\times {10}^{-3}$	$1.56\times {10}^{-3}$

Legend: modGauss: using modulated Gaussian filter; GAFD: using Gaussian average filtering decomposition; AR: by autoregressive (AR) power spectral density (PSD); Welch: using Welch’s periodogram; Wavelet: by the scalogram using complex Morlet wavelet; $\alpha$ (Test Condition): the p value of BRS $\alpha$ index under different “Test Condition”; ${\alpha }_{LF}$ (Test Condition): the p value of BRS $\alpha$ index in LF band under different “Test Condition”; ${\alpha }_{HF}$ (Test Condition): the p value of BRS $\alpha$ index in HF band under different “Test Condition”; Test Condition: “Whole” refers to the analysis of the entire dataset; “Supine” stands for the analysis of the data in supine position; “Standing” stands for the analysis of the data in standing position.