Table 8.
Comparison of detection of non-apnea/hypopnea sleep arousal in PhysioNet 2018 Computational Challenge.
| Author (Year) [Reference] | Number of Channels | Model | AUPRC |
|---|---|---|---|
| Sridhar et al. (2018) [98] | 13 | CNN+RNN | 0.573 |
| Howe-Patterson et al. (2018) [100] | 12 | CNN+LSTM | 0.54 |
| Pourbabaee et al. (2019) [101] | 12 | DNN+LSTM | 0.543 |
| Már Þráinsson et al. (2018) [59] | 13 | Bi-LSTM | 0.45 |
| Li et al. (2018) [97] | 13 | DNN+LSTM | 0.43 |
| Varga et al. (2018) [69] | 13 | CNN | 0.42 |
| Patane et al. (2018) [70] | 5 | CNN | 0.40 |
| Miller et al. (2018) [92] | 13 | CNN | 0.36 |
| Warrick et al. (2018) [72] | 13 | RNN | 0.36 |
| Zabihi et al. (2019) [71] | 5 | CNN | 0.31 |
Note: Submitted inside the time frame of the official phase of the 2018 PhysioNet Challenge. AUPRC is for their internal test set and the official blind test set.