Skip to main content

Table 7 Comparison of our proposed SAA to representative candidates of individual categories

From: A review of progress and an advanced method for shock advice algorithms in automated external defibrillators

Refs.

Method

Performance

Signal preprocessing

Signal generation

Number of signals

FE

FS

Classification method

Validation method

Number of selected features

Classifier

Testing data

Average time consumed for 50 consecutive segments

Ac (%)

Se (%)

Sp (%)

 

[10]

Mean subtraction, Moving average, High-pass, Low-pass Butterworth filters

NA

1

TCSC

NA

Threshold based SAA

NA

1

 

98.1

80.9

98.5

NA

[44]

Moving average, High-pass, Low-pass Butterworth filters

Augmented ECG with MVMD

2

54 features with conventional methods

GA and SFFS

ML based SAA

Five-fold CV

20

SVM

99.0

97.4

99.2

4.7 s

KNN

98.9

97.3

99.1

Boosting

98.4

97.4

98.5

[8]

Moving average, High-pass, Low-pass Butterworth filters

Fully augmented ECG with MVMD

3

100 deep features with CNN

NA

DL based SAA

Five-fold CV

100

SVM

98.8

94.9

99.5

 

KNN

99.1

97.2

99.2

 

Boosting

99.3

97.1

99.4

7.0 s

Proposed algorithm

Moving average, High-pass, Low-pass Butterworth filters

Fully augmented ECG with MVMD

3

93 features with conventional methods

SFFS

ML based SAA

Five-fold CV

36

SVM

99.6

98.2

99.8

7.9 s

KNN

99.3

97.7

99.9

Boosting

98.2

95.4

98.9