A Novel Approach for Segment-Length Selection Based on Stationarity to Perform Effective Connectivity Analysis Applied to Resting-State EEG Signals

. 2022 Jun 23;22(13):4747. doi: 10.3390/s22134747

Algorithm 1: Variance searching algorithm
Input:Kσ²
1.	$p d f \leftarrow M L E (K σ 2, χ 2)$
2.	$p k \leftarrow m a x (p d f)$
3.	$L_{b} \leftarrow p k, H_{b} \leftarrow p k$
	$L o o p$
4.		$L_{b} \leftarrow L_{b} - c$
		$H_{b} \leftarrow H_{b} + c$
5.		$S_{K σ^{2}} = f i n d (K σ^{2}) s u c h t h a t : L_{b} \leq K σ^{2} \leq H_{b}$
6.		$V S e l C h n \leftarrow S_{K σ^{2}} [\min (t_{w, c h n})]$
		$I F c o u n t (V S e l C h n) > t h r e s h o l d 1 .$
7.			$A v a r \leftarrow m e a n (V s e l C h n)$
				$I F A v a r \leq t h r e s h o l d 2 .$
9.					$A p p e n d A v a r t o S E L E C T I O N$
	$U n t i l k i t e r a t i o n s a r e r e a c h e d$