. Author manuscript; available in PMC: 2020 Oct 19.

Published in final edited form as: IEEE EMBS Int Conf Biomed Health Inform. 2019 Sep 12;2019:10.1109/BHI.2019.8834637. doi: 10.1109/BHI.2019.8834637

Table 1:

Comparison of performance of the proposed model against other algorithms on the MIT-BIH AFIB database with the ECG segment of size 5-s (≤ 7 Beats).

Method	Best Performance (%)
Method	Sensitivity	Specificity	Accuracy
ECGNET	99.53	99.26	99.40
Xia, et al. (2018) [10]	98.79	97.87	98.63
Asgari, et al. (2015) [4]	97.00	97.10	-
Lee, et al. (2013) [13]	98.20	97.70	-
Jiang, et al. (2012) [14]	98.20	97.50	-
Huang, et al. (2011) [15]	96.10	98.10	-
Babaeizadeh, et al. (2009) [16]	92.00	95.50	-
Dash, et al. (2009) [17]	94.40	95.10	-
Tateno, et al. (2001) [18]	94.40	97.20	-