Table 8.

Comparison of the Bern–Barcelona public dataset DL fusion model experimental results.

Method/Year	Extracted Feature	Classifier	ACC	SE	SP
Das and Bhuiyan [39]	EMD-DWT, log energy entropy	KNN	89.40%	-	-
Sriraam and Raghu [40]	26 various features	SVM	92.15%	94.56%	89.74%
Rahman et al. [18]	VMD-DWT	Ensemble stacking	96.1%	94.4%	95.2%
Li et al. [15]	Entropy-based features	RBF	93.91%	92.94%	94.88%
The Proposed (2021)	70 various features $\times$ 4 segments + Automatic feature	Proposed Model	97.60%	97.78%	97.42%