Arrhythmia Detection On Mit Bih Ar
评估指标
Accuracy (Inter-Patient)
Accuracy (Intra-Patient)
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 (Inter-Patient) | Accuracy (Intra-Patient) | Paper Title | Repository |
|---|---|---|---|---|
| SVM | 76.3% | 98.7% | Support vector machine based arrhythmia classification using reduced features | - |
| BiLSTM-Attention | 99.47% | - | Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity’s Global Sequence Features and BiLSTM-Attention Neural Network | - |
| ESN+Reservoir Computing | 99.11% | - | Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices | - |
| Deep residual CNN | 93.4% | - | ECG Heartbeat Classification: A Deep Transferable Representation | |
| TVCG_PSO | 92.4% | - | Inter-Patient ECG Heartbeat Classification with Temporal VCG Optimized by PSO | - |
| BiRNN | 99.53% | 99.92% | Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach |
0 of 6 row(s) selected.