2026-10-12T09:40:46Z https://www.scidb.cn/oai

10.57760/sciencedb.j00145.00058 2026-06-30T08:37:05Z

2026-06-30 A Dataset for Quantifying Sleep Quality from Wristband Pulse Data via the ESD Model doi:10.57760/sciencedb.j00145.00058 en This dataset originates from a study establishing a sleep quality assessment model based on the Structural Ensemble Dynamics (SED) theory. Nighttime wristband pulse data were collected from 28 subjects using a commercial smart band (Keep Smart Band, Keep B3), with a sampling interval of 15 seconds and a maximum recording duration of 8 hours, covering complete sleep episodes. The dataset comprises 549 sleep samples across three categories of subjects: (1) one adult male with abnormal sleep patterns due to night shifts (22 samples); (2) three healthy adults with long-term recordings (73 samples); and (3) 24 clinical patients receiving six-week sleep intervention treatment at Peking University First Hospital (454 samples).The dataset provides raw pulse rate time series, computed local pulse rate variability (Δ), sleep efficiency function (W), effective sleep duration (ESD), and daily subjective sleep scores (DSS) for each subject. The ESD model establishes a linear relationship between objective pulse-derived metrics and subjective sleep scores (DSS = k·ESD + α), achieving high consistency between objective and subjective sleep quality assessments (overall correlation coefficient r ≈ 0.92).This dataset can be used for the development and validation of sleep quality assessment algorithms, improvement of wearable-device-based sleep monitoring methods, and objective evaluation of clinical sleep intervention outcomes. Sleep quality assessment; Effective sleep duration (ESD); Pulse rate variability (PRV); Wearable device; Structural Ensemble Dynamics (SED); Subjective-objective consistency; Clinical sleep intervention Xin Yu Liu Yijun EMBARGO https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank