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. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: Comput Methods Programs Biomed. 2021 Feb 9;202:105959. doi: 10.1016/j.cmpb.2021.105959

Table 8.

Comparison of performance of the proposed approach against other state-of-the-art algorithms for the AFIB detection task on the MIT-BIH AFIB database with the ECG segment of size 5-s.

Work Approach Best Performance (%)
accuracy ppv sensitivity specificity
ELP CNN 98.17 97.78 98.57 97.76
ELP RNN 97.93 97.63 98.24 97.61
ELP RNN-Attention 97.96 97.87 98.08 97.84
Xia et al. [34] SWT + CNN 98.63 - 98.79 97.87
Asgari et al. [4] SWT + SVM - - 97.00 97.10
Jiang et al. [9] RR interval irregularity + P-wave absence - - 98.20 97.50

ppv: positive predictive value; SWT: stationary wavelet transform