Table 7 Comparing the results of preceding research
From: Robust algorithm for arrhythmia classification in ECG using extreme learning machine
Method | Number of beat types Training Data Set/Test Data Set | Accuracy (%) |
|---|---|---|
ICA-BPNN[2] | 8 (4900/4900) | 98.37 |
DWT-NN[4] | 13 (30293/75130) | 96.79 |
FTNN [5] | 3 (540/250) | 98.0 |
Wavelet-PNN[6] | 6 (11600/11600) | 99.65 |
MOE [21] | 4 about (10000/49260) | 94.0 |
Fhyb-HOSA[22] | 7 (4035/3150) | 96.06 |
BSS-Fourier[23] | 5 (320/160)* | 85.04 |
PCA-ELM[24] | 7 (3450/3450) | 97.45 |
Proposed Algorithm | 6 (10000/75853) | 98.72 |