Qrs Complex Detection On Mit Bih Ar
Metrics
Accuracy
F1-score
Results
Performance results of various models on this benchmark
Model Name | Accuracy | F1-score | Paper Title | Repository |
|---|---|---|---|---|
| CNN (INCART + QT) | 97.5% | - | Impact of ECG Dataset Diversity on Generalization of CNN Model for Detecting QRS Complex | - |
| CNN (QT) | 96.6% | - | Impact of ECG Dataset Diversity on Generalization of CNN Model for Detecting QRS Complex | - |
| CNN (INCART) | 97.49% | - | Impact of ECG Dataset Diversity on Generalization of CNN Model for Detecting QRS Complex | - |
| MaMeMi | 99.22% | - | Simple real-time QRS detector with the MaMeMi filter | |
| CNN (LOSO, Intra-Db) | 99.60% | - | Impact of ECG Dataset Diversity on Generalization of CNN Model for Detecting QRS Complex | - |
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