Sleep quality assessment and in-bed state monitoring

Abstract

Provided are sleep quality assessment methods, apparatuses, electronic devices, and storage medium, and relates to the field of artificial intelligence and deep learning technologies, and in particular to sleep quality assessment methods, apparatuses, electronic devices, and storage medium. The method includes: determining sleep data of a subject; obtaining sleep feature data based on a reference core sleep period of the subject and the sleep data; and evaluating sleep quality of the subject based on the sleep feature data. The method assesses the sleep quality of the subject based on the sleep feature data extracted based on the reference core sleep period of the subject and the sleep data of the subject, takes into account individual factors of the subject in extracting the sleep feature data, thus providing a more accurate assessment of the sleep quality of the subject.