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. Author manuscript; available in PMC: 2017 Jul 27.
Published in final edited form as: Physiol Meas. 2017 May 10;38(6):1061–1076. doi: 10.1088/1361-6579/aa6e9c

Table 5.

β coefficients of L1L2 regularized logistic regression models trained on four most predictive features from either 24 h or quiescent segments of RR intervals. Values shown are medians across sub-samples and IQR bounds in brackets.

24 h Quiescent segments
Feature Coefficient value Feature Coefficient
β1 Intercept 0.06 [0.05 0.06] Intercept 0.08 [0.08 0.11]
β2 σrr 0.46 [0.35 0.51] AC 1.12 [1.03 1.60]
β3 IQRrr 0.29 [0.22 0.54] DC 0.80 [0.61 1.06]
β4 LF power 0.00 [−0.03 0.07] LF power 0.32 [0.00 0.67]
β5 SDNN −0.04 [−0.31 −0.00] SDNN 0.30 [0.01 0.39]