Table 1 Comparison of TWA detection rate for NMF-Adaptive SM using the proposed fuzzy labeling classifier and LDA
From: Discriminant non-stationary signal features’ clustering using hard and fuzzy cluster labeling
Method | Sensitivity (%) | Specificity (%) | Classifier | TWA magnitude (μ V) | ECG database |
|---|---|---|---|---|---|
NMF-Adaptive SM | 92 | 95 | Fuzzy labeling | 5 | 52 Real ECGs |
NMF-adaptive SM | 87 | 91 | LDA | 5 | 52 Real ECGs |
SM [25] | 73 | 63 | LDA | 5 | 52 Real ECGs |
MMA [25] | 92 | 58 | LDA | 5 | 52 Real ECGs |
Wavelet 1 [29] | 77 | NS | Wilcoxon rank-sum test | 10 | 10 Synthetic ECGs |
Wavelet 2 [30] | 96 | NS | LDA | 10 | 2050 Synthetic ECGs |