https://www.selleckchem.com/products/zen-3694.html
Sleep behavior and time spent at home are important determinants of human health. Research on sleep patterns has traditionally relied on self-reported data. Not only does this methodology suffer from bias but the population-level data collection is also time-consuming. Advances in smart home technology and the Internet of Things have the potential to overcome these challenges in behavioral monitoring. The objective of this study is to demonstrate the use of smart home thermostat data to evaluate household sleep patterns and the time sp
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