Ecg Denoising On Qt Nstdb
평가 지표
CosSim
MAD
PRD(%)
SSD
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | CosSim | MAD | PRD(%) | SSD | Paper Title | Repository |
|---|---|---|---|---|---|---|
| MECG-E | 0.936 ±0.077 | 0.319 ±0.252 | 37.613 ±22.389 | 3.445 ±6.493 | MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal | |
| DeepFilter | 0.895 ±0.101 | 0.395 ±0.282 | 50.570 ±30.703 | 5.302 ±8.400 | DeepFilter: an ECG baseline wander removal filter using deep learning techniques | |
| DRNN | 0.746 ±0.192 | 0.648 ±0.390 | 118.969 ±101.215 | 11.492 ±15.536 | Deep Recurrent Neural Networks for ECG Signal Denoising | |
| DeScoD-ECG | 0.926 ±0.086 | 0.329 ±0.258 | 39.940 ±25.343 | 3.800 ±6.227 | DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal |
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