Table 3.

AUC for each method as a function of segment size, using 25-fold cross-validation

RR intervals	AFD (95% CI)	KS (95% CI)	SD (95% CI)	Med (95% CI)
7	0.9942 (0.9873–1.0000)	0.9434 (0.9307–0.9561)	0.9797 (0.9715–0.9879)	0.9523 (0.9410–0.9636)
15	0.9977 (0.9955–0.9999)	0.9894 (0.9862–0.9926)	0.9892 (0.9840–0.9944)	0.9697 (0.9603–0.9791)
21	0.9973 (0.9939–1.0000)	0.9938 (0.9918–0.9958)	0.9908 (0.9858–0.9958)	0.9734 (0.9649–0.9819)
33	0.9980 (0.9966–0.9994)	0.9965 (0.9949–0.9981)	0.9926 (0.9881–0.9971)	0.9775 (0.9697–0.9853)
101	0.9992 (0.9986–0.9998)	0.9986 (0.9978–0.9994)	0.9925 (0.9877–0.9973)	0.9829 (0.9752–0.9906)

AUC – Area under the receiver operating characteristic curve, AFD – current algorithm, KS – Kolmogorov-Smirnov test compared to stored template histograms, SD – standard deviation of RR intervals, Med – Median difference of adjacent RR intervals, CI – Confidence interval