ECG Biometric Recognition on MIT-BIH
100AccuracyAttention-Guided Fusion of 1D and 2D CNNs
Evaluation results
| Method | Links | |
|---|---|---|
| Attention-Guided Fusion of 1D and 2D CNNsOptimal α=0.565, Architecture=InceptionTime + ResNet-34, Segmentation=P–T wave2026.05 | 100 | |
| Attention-Guided Fusion of 1D and 2D CNNsClass=Multimodal, Year=20242026.05 | 100 | |
| EKM + CNNClass=2D, Year=20222026.05 | 98.84 | |
| CNN + Self-Supervised Contrastive LearningClass=1D, Year=20242026.05 | 98.67 | |
| CWT + DWT + Capsule NetworkClass=2D, Year=20222026.05 | 98.2 | |
| LSTMClass=1D, Year=20212026.05 | 96.81 | |
| One-Dimensional Shallow Neural NetworkClass=1D, Year=20232026.05 | 95.29 | |
| Heart Beat Segmentation, CWT & CNNClass=2D, Year=20242026.05 | 93.81 |