This study examines the relationship between sleep quality and physical health indicators, specifically blood pressure. The researchers used EEG measurements to assess sleep quality in 100 adults and categorized them into three groups based on sleep parameters. Using unsupervised machine learning, they found statistically significant differences in systolic and diastolic blood pressure, γ-GTP, and serum creatinine among the groups. Objective sleep quality, as measured by EEG, was found to be weakly correlated with subjective sleep quality and strongly associated with systolic blood pressure.