Research Article
Personalized and Intelligent Sleep Lifestyle Reasoner with Web Application for Improving Quality of Sleep Part of AAL Architecture
@INPROCEEDINGS{10.1007/978-3-319-74935-8_15, author={Krasimir Tonchev and Georgi Tsenov and Valeri Mladenov and Agata Manolova and Vladimir Poulkov}, title={Personalized and Intelligent Sleep Lifestyle Reasoner with Web Application for Improving Quality of Sleep Part of AAL Architecture}, proceedings={Pervasive Computing Paradigms for Mental Health. Selected Papers from MindCare 2016, Fabulous 2016, and IIoT 2015}, proceedings_a={MINDCARE \& IIOT \& FABULOUS}, year={2018}, month={3}, keywords={Intelligent Decision Support System Sleep quality Sleep monitoring Context awareness Ambient Assisted Living}, doi={10.1007/978-3-319-74935-8_15} }- Krasimir Tonchev
Georgi Tsenov
Valeri Mladenov
Agata Manolova
Vladimir Poulkov
Year: 2018
Personalized and Intelligent Sleep Lifestyle Reasoner with Web Application for Improving Quality of Sleep Part of AAL Architecture
MINDCARE & IIOT & FABULOUS
Springer
DOI: 10.1007/978-3-319-74935-8_15
Abstract
An average human spends about one third of his life sleeping so quality of sleep is essential for the human being to maintain good physical and emotional health. Sleep disorders may introduce severe physical effects, e.g. cognitive impairments and mental health complications. So being able to measure and evaluate sleep behavior is important for health practitioners and the users themselves. In this paper, we present the implementation of the Sleep Lifestyle Reasoner part of AAL platform which allows detection of minor or major deviations in the sleeping patterns in MCI and COPD patients indicating changes in their health status. The output of the reasoner is fed to the My Sleep Web Application that provides recommendations to improve sleep hygiene and coaches the users into a healthy sleeping behavior, based on their personal rhythms and problems. It also supports the informal caregiver by providing insights on the sleeping behavior of the patient.
