Automatic QRS complex detection using two-level convolutional neural network

Table 4 Comparison of performance of several QRS detection methods using the MIT-BIH-AR database

Method	TP	FP	FN	Sen (%)	PPR (%)	DER (%)
Zidelmal et al. [14]	108,323	97	171	99.84	99.91	0.25
Arbateni and Bennia [27]	109,273	109	210	99.82	99.91	0.29
Kholkhal and Reguig [23]	106,310	48	259	99.76	99.95	0.29
This work	104,837	99	241	99.77	99.91	0.32
Zhou et al. [18]	109,224	139	213	99.81	99.87	0.32
Bouaziz et al. [4]	109,354	232	140	99.87	99.79	0.34
Phukpattaranont [16]	109,281	210	202	99.82	99.81	0.38
Farashi [17]	109,692	163	273	99.75	99.85	0.39
Hamdi et al. [15]	73,278	92	284	99.74	99.86	0.51

ISSN: 1475-925X