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

From: Automatic QRS complex detection using two-level convolutional neural network

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