Fig. 3: Performance evaluation of Four-class Sleep Staging, AHI estimation, and SDB severity classification using respiratory belt-derived signals (Internal Testset, ClinHuaiAn) and radar-derived signals (ClinRadar).
From: Advancing sleep health equity through deep learning on large-scale nocturnal respiratory signals
a, e, i Sleep stage confusion matrix, where the percentages indicate the proportion of correctly and incorrectly classified instances for each stage, and the numbers represent the actual counts of these classifications. b, f, j AHI scatter plot with the middle line representing the equation y = x. c, g, k Bland-Altman plot for AHI with horizontal lines for the mean difference and the 95% limits of agreement. d, h, l SDB severity confusion matrix. Source data are provided as a Source Data file.
