Fig. 4: Correlation between MMSE and sleep features based on wearable data.
From: Wearable sleep recording augmented by artificial intelligence for Alzheimer’s disease screening
The hypnogram features are shown in the upper part of the figure, and a few selected physiological features are shown in the lower part. The first column shows the ground truth sleep features based on the wearable data, but scored with the ground truth manual PSG scoring, and the second column shows sleep features based on the wearable data scored by AI. Pearson’s correlation test was performed, with the subjects as samples. The MMSE score was not recorded in the patients from the Senior Sleep Dataset, so the correlations are only computed for the 65 patients of the Alzheimer’s Sleep Dataset (see Table 2). Correlations are shown through the colors, with p values below 0.05 reported as numbers to indicate the significance of the correlations. The wearable-based features based on AI scoring and based on ground truth scoring agree on most significant correlations. ACM accelerometry, AI artificial intelligence, All all sleep stages, EEG electroencephalography, MMSE Mini-Mental State Examination, STD standard deviation. Abbreviations for hypnogram features are explained in Supplementary Table 1.
