Table 1 Methods which used the Intra-patient paradigm.
From: Inter-Patient ECG Heartbeat Classification with Temporal VCG Optimized by PSO
Work | # Classes | Feature set | Classifier | Effectiveness |
|---|---|---|---|---|
Cristov & Bortonal, 200433 | 2 | Heartbeat-Intervals, VCG | NN | Acc = 99% |
Özbay et al., 200634 | 10 | Raw-wave | MLP, Fuzzy Cluster, FCNN | Acc = 99% |
Bortolan et al., 200735 | 2 | VCG and Morphological hyperbox + GA | Fuzzy Clustering | Acc = 99% |
Ubeyli, 200736 | 4 | DWT | SVM, ECOC | Acc = 99% |
Yu & Chen, 200712 | 5 | ICA, RR-interval | PNN | Acc = 99% |
Yu & Chen, 200712 | 6 | Wavelet (statistics), RR-interval | PNN | Acc = 99% |
Minhas & Arif, 200837 | 6 | Wavelet, RR-interval, PCA | kNN | Acc = 99% |
Asl et al., 200838 | 6 | HVR, GDA | SVM | Acc = 100% |
Chen et al., 20146 | 6 | RR-intervals | SVN, NN | Acc = 100% |
Mert et al., 201439 | 6 | RR-intervals, HOS, | Bagged Decision Tree | Acc = 99% |
2nd order LPC coeff. | ||||
Alickovic & Subasi, 201540 | 5 | autoregressive (AR) modeling | SVM, MLP, RBF, kNN | Acc = 99% |
Li et al., 201741 | 6 | WPD | GA-BPNN | Acc = 99% |
