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Fig. 3 | BioMedical Engineering OnLine

Fig. 3

From: Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning

Fig. 3

Relationships between classification performance metrics and LP segment window length in the test data from the ALLSTAR database. The LP images were annotated with the strict criteria. Panels a and b show sensitivity, specificity, positive and negative predictive values (PPV and NPV), accuracy, and area under the curve (AUC). Panels c and d show positive and negative likely hood ratios, respectively. The x-axis in bd is the common log values of segment window length in beat. Dotted lines represent regression lines with parabolic functions

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