Table 2 Performance metrics on test sets, in percentage points, for our method, the proprietary algorithm, and the baselines30,31,32,33.

From: Robust screening of atrial fibrillation with distribution classification

Algorithm

Training

Testing

Acc.

F1

Sen.

Spe.

AUROC

Noise

Ours

DiagnoStick

DiagnoStick

96.12

66.26

71.05

97.54

97.17

Ours

SPH

DiagnoStick

95.76

66.29

77.63

96.79

98.20

Ours

CinC

DiagnoStick

96.68

67.13

63.16

98.58

93.49

Ours

DiagnoStick

SPH

93.72

80.06

75.21

97.45

97.56

Ours

SPH

SPH

95.18

85.87

87.32

96.77

98.24

Ours

CinC

SPH

92.82

77.78

74.93

96.43

96.11

Ours

DiagnoStick

CinC

93.22

66.67

77.54

94.73

92.44

Ours

SPH

CinC

92.72

65.88

80.43

93.89

94.48

Ours

CinC

CinC

94.30

69.80

75.36

96.11

94.85

Proprietary

DiagnoStick

92.51

50.93

72.37

93.65

Datta et al.30

\(\hbox {CinC}^\star\)

DiagnoStick

96.96

66.14

55.26

99.33

1.27

Hong et al.31

\(\hbox {CinC}^\star\)

DiagnoStick

94.63

0.00

0.00

100.00

84.53

Zabihi et al.32

\(\hbox {CinC}^\star\)

DiagnoStick

96.33

54.39

40.79

99.48

4.87

Mahajan et al.33

\(\hbox {CinC}^\star\)

DiagnoStick

95.34

37.74

26.32

99.25

11.65

  1. The classifiers of30,31,32,33 were trained during the CinC 2017 competition24, which we indicated as the training set “\(\hbox {CinC}^\star\)”. We refer to the individual references for details. The abbreviations in the headers of the columns 4–7 stand for, “Accuracy”, “F1-Score”, “Sensitivity”, and “Specificity”, respectively. The “Noise” column indicates the proportion of ECGs classified as noise by the algorithms of the CinC 201724 competition. They are counted as negative classifications for AF presence.