Table 2.

Comparing our method with other deep learning methods on the Atrial Fibrillation Monitoring dataset.

Method	${\mathit{F}}_{1\mathit{N}}$	${\mathit{F}}_{1\mathit{A}}$	${\mathit{F}}_{1\mathit{O}}$	${\mathit{F}}_{1\mathit{P}}$	${\mathit{F}}_1$
CNN	0.9123	0.8140	0.7097	0.4636	0.7249
RNN	0.9187	0.8100	0.7834	0.4829	0.7488
RCNN	0.9190	0.8221	0.7319	0.5676	0.7602
ResNet	0.9056	0.8431	0.7415	0.5873	0.7719
KEEN	0.9061	0.8712	0.7166	0.7561	0.8125
KEEN+	0.9053	0.8704	0.7142	0.6995	0.7974