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. 2023 Sep 15;23(18):7924. doi: 10.3390/s23187924

Table 5.

Performance comparison on the OSASUD dataset considering per second and per-patient.

Per Second
Model Base Architecture Dataset AUC Acc * F1 Sens * Spec * Prec *
Mostafa et al. [33] CNN Private - 89.40 - 74.40 93.90 -
UCD - 66.79 - 85.37 60.94 -
Morillo et al. [22] PNN Private 0.889 85.22 - 92.4 95.9 -
Bernardini et al. [28] LSTM OSAUCD 0.704 0.676 0.399 0.656 0.680 -
proposed Transformer 0.908 0.821 0.769 0.808 0.829 0.733
Per-patient (OSA = AHI ≥ 5)
Bernardini et al. [28] LSTM OSAUCD - 0.633 0.776 0.826 0.0 -
Proposed (AVG *) Transformer 0.868 0.804 0.422 0.647 0.801 0.385
Proposed (MAX *) Transformer OSAUCD 0.990 0.968 0.826 0.996 0.992 0.776
Proposed (MIN *) 0.553 0.522 0.034 0.061 0.235 0.0176
Proposed (σ *) 0.119 0.121 0.254 0.295 0.162 0.249

* Abbreviations: Acc, accuracy; Sens, sensitivity; Spec, specificity; Prec, precision; AVG, Average; MAX, maximum; MIN, minimum; σ, Standard deviation.