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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