Current Knowledge/Study Rationale: Sleep quality is an important measure for health. Although objective modalities such as wearable sensors have been proposed to measure sleep quality in out-of-laboratory conditions, conventional methods based on wrist sensors suffer from drawbacks in accurate measurement regarding time in bed, sleep posture (supine, prone, and sides), and position changes.
Study Impact: This study suggests that a chest sensor, which integrates body acceleration and position change, could more accurately detect sleep/wake epochs compared to conventional methods based on wrist sensor. As compared to the wrist sensor, the chest sensor demonstrated an improved precision and a stronger correlation with polysomnography for estimation of sleep parameters of interest. The results may open new avenues to improve the ability of wearable sensor for clinical assessment of sleep outside of sleep laboratory. It also suggests that body location other than wrist and/or additional measurable sensor-derived parameters beyond body acceleration could improve in further sleep assessment methods.