A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers

• প্রধান লেখক: Zilu Liang (লেখক), Mario Alberto Chapa-Martell (লেখক)
• বিন্যাস: গ্রন্থ
• প্রকাশিত: Frontiers Media S.A., 2021-05-01T00:00:00Z.
• বিষয়গুলি: article
• অনলাইন ব্যবহার করুন: Connect to this object online.

Consumer wearable activity trackers, such as Fitbit are widely used in ubiquitous and longitudinal sleep monitoring in free-living environments. However, these devices are known to be inaccurate for measuring sleep stages. In this study, we develop and validate a novel approach that leverages the pr...