Ecg Classification On Physionet Challenge
评估指标
Accuracy(stratified10-fold)
F1(stratified10-fold)
F2(stratified10-fold)
G2(stratified10-fold)
PhysioNet/CinC Challenge Score(stratified10-fold)
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Accuracy(stratified10-fold) | F1(stratified10-fold) | F2(stratified10-fold) | G2(stratified10-fold) | PhysioNet/CinC Challenge Score(stratified10-fold) | Paper Title | Repository |
|---|---|---|---|---|---|---|---|
| 1D CNN Fully Convolutional Network | 0,13±0,02 | 0,28±0,01 | 0,36±0,02 | 0,15±0,01 | 0,36±0,01 | Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs | |
| 1D CNN Encoder | 0,20±0,02 | 0,35±0,01 | 0,40±0,01 | 0,19±0,01 | 0,37±0,03 | Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs |
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