Table 11.

Benchmarking with other DL for AF detection

Authors	Method	Total subject	Acc. (%)	Sens. (%)	Spec.	ROC-AUC Score (%)
Faust et al. [4]	RNNs-LSTM	102	98.51	–	–	–
Hong et al. [51]	CNNs-RNNs	± 20,000	–	–	–	98.57
Zhang et al. [52]	CNNs	177,941	91.88	94.23	–	–
Yildirim et al. [53]	DNNs	3605	97.91	96.52	98.31	–
Proposed model	1D-CNNs	8416	100	100	100	–
		11,842	98.94	98.97	98.97	–
		26,349	96.36	93.65	96.92	-

Acc Accuracy, Sens Sensitivity, Spec Specificity