Arrhythmia Classification on PhysioNet Challenge Extreme Bradycardia EBR 2015 (test)
100TPRFCN
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| FCNLearning Strategy=Supervised, S4 d state setting=642026.06 | 100 | 50 | 78.57 | 84.21 | 72.73 | 82.92 | |
| SL-S4WaveLearning Strategy=Self-supervised, Pre-training Dataset=VTaC, S4 d state setting=642026.06 | 100 | 83.33 | 92.86 | 94.12 | 88.89 | 91.67 | |
| CMSCLearning Strategy=Self-supervised, Pre-training Dataset=VTaC, S4 d state setting=642026.06 | 97.5 | 36.67 | 68.25 | 79.72 | 67.71 | 70.21 | |
| TS2VecLearning Strategy=Self-supervised, Pre-training Dataset=VTaC, S4 d state setting=642026.06 | 97.5 | 56.67 | 76.51 | 84.78 | 75.19 | 88.33 | |
| SimCLRLearning Strategy=Self-supervised, Pre-training Dataset=VTaC, S4 d state setting=642026.06 | 95 | 50 | 69.37 | 81.64 | 71.64 | 81.25 | |
| TF-CLearning Strategy=Self-supervised, Pre-training Dataset=VTaC, S4 d state setting=642026.06 | 90 | 56.67 | 66.36 | 80.63 | 73.21 | 83.33 | |
| ECGFounderLearning Strategy=Self-supervised, Pre-training Dataset=VTaC, S4 d state setting=642026.06 | 88.89 | 70 | 69.84 | 84.59 | 81.59 | 94.44 | |
| S4WaveLearning Strategy=Supervised, S4 d state setting=642026.06 | 65 | 86.67 | 42.67 | 73.64 | 87.43 | 75.83 | |
| TS-TCCLearning Strategy=Self-supervised, Pre-training Dataset=VTaC, S4 d state setting=642026.06 | 60 | 83.33 | 42.08 | 67.31 | 81 | 68.13 | |
| ECG-JEPALearning Strategy=Self-supervised, Pre-training Dataset=VTaC, S4 d state setting=642026.06 | 51.11 | 73.34 | 27.84 | 60 | 77.14 | 76.3 |