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. 2022 Aug 29;19(17):10736. doi: 10.3390/ijerph191710736

Table 2.

Performance of the CNN and the CNN-LSTM models for the three-level drowsiness classifications for different combinations of input signals.

Model Name Input Signal Accuracy (%) Sensitivity (%) Specificity (%) Precision (%)
CNN HRV 55 58 59 56
HRV-PSD 63 61 61 59
RR 66 62 61 65
HRV + HRV-PSD 65 63 60 62
HRV + RR 72 67 71 70
HRV-PSD + RR 68 64 65 65
All inputs 84 80 88 80
CNN-LSTM HRV 72 65 71 61
HRV-PSD 73 65 72 64
RR 81 76 83 74
HRV + HRV-PSD 78 71 81 70
HRV + RR 82 77 84 80
HRV-PSD + RR 77 71 79 70
All inputs 91 87 92 87

HRV: heart rate variability, HRV-PSD: power spectral density of HRV, RR: respiration rate.