Real-Time Arrhythmia Classification Algorithm Using Time-Domain ECG Feature Based on FFNN and CNN

Table 13

Comparison of the proposed algorithm with other studies.

Method	Acc	P (N)	R (N)	P (SVEB)	R (SVEB)	P (VEB)	R (VEB)	P (F)	R (F)
Proposed	0.915	0.953	0.962	0.289	0.103	0.811	0.909	0.050	0.003
Proposed	0.942	0.983	0.958	0.123	0.333	0.956	0.862	0.008	0.176
Luo et al. [26]	0.893	0.930	0.953	0.473	0.154	0.668	0.604	0.200	0.500
Mar et al. [14]	0.890	0.992	0.942	0.567	0.862	0.934	0.924	0.177	0.664
Alvarado et al. [27]	0.936	0.992	0.942	0.567	0.862	0.934	0.924	0.177	0.664
Ye et al. [28]	0.882	0.982	0.900	0.551	0.564	0.603	0.847	0.058	0.358
Zhang et al. [29]	0.883	0.990	0.889	0.360	0.791	0.928	0.855	0.137	0.938
Niu et al. [30]	0.923	0.974	0.939	0.732	0.766	0.578	0.851	0.449	0.384