Table 2 Performance comparison with other studies
Study | Year | Sensors | Method | Accuracy | Sensitivity | Specificity |
|---|---|---|---|---|---|---|
Dai et al. 16 | 2022 | 12-lead ECG | CNN | 99.59 | 99.04 | 99.87 |
Wang et al. 17 | 2021 | Single-lead ECG | Rule-based | 90.47 | 81.59 | 91.75 |
Desai et al. 28 | 2017 | Single-lead ECG | Ensemble learning | 99.51 | 98.82 | 99.83 |
PĹ‚awiak18 | 2017 | Single-lead ECG | SVM | 98.85 | - | 99.39 |
Bagheri et al. 25 | 2020 | Medical text, data | biLSTM | 84.70 | 83.8 | - |
Li et al. 26 | 2021 | ECG and PCG | SVM | 87.40 | 90.30 | 84.50 |
Pan et al.27 | 2022 | 12-lead ECG | MCA-net | 93.65 | 96.55 | 88.59 |
Our method | 2023 | Single-lead ECG, Airflow, SpO2 | SleepCVD-Net | 97.55 | 97.14 | - |
