Predicting sleep based on physical activity, light exposure, and Heart rate variability data using wearable devices.

Objective: We aimed to improve the performance of sleep prediction algorithms by increasing the data amount, adding variables reflecting psychological state, and adjusting the data length.

Materials And Methods: We used ActiGraph GT3X+ and Galaxy Watch Active2 to collect physical activity and light exposure data. We collected heart rate variability (HRV) data with the Galaxy Watch.

Prediction of good sleep with physical activity and light exposure: a preliminary study.

Study Objectives: Cognitive behavioral treatment for insomnia is performed under the premise that feedback provided by evaluation of sleep diaries written by patients will result in good sleep. The sleep diary is essential for behavior therapy and sleep hygiene education. However, limitations include subjectivity and laborious input.