Personalized and intelligent sleep lifestyle reasoner with web application for improving quality of sleep part of AAL architecture

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.