From: Machine-learning based feature selection for a non-invasive breathing change detection
Predictive variables | Accuracy | Sensitivity | Specificity | AUC |
---|---|---|---|---|
Breathing rate | 0.748 | 0.950 | 0.194 | 0.741 (0.718-0.764) |
Signal amplitude | 0.787 | 0.951 | 0.338 | 0.773 (0.751-0.796) |
ARIMA coefficients | 0.806 | 0.945 | 0.424 | 0.814 (0.793-0.835) |
Breathing rate and signal amplitude | 0.801 | 0.939 | 0.422 | 0.798 (0.776-0.819) |
Breathing rate, signal amplitude and ARIMA coefficients | 0.825 | 0.932 | 0.531 | 0.848 (0.829-0.867) |
Fourier coefficients (frequencies ≤2 Hz) | 0.797 | 0.933 | 0.422 | 0.811 (0.791-0.832) |