Abstract
Sleep is one of the most important areas for humans for maintaining daily activities with full concentration and attention. Maintaining the proper sleep patterns is strongly related to physical, mental, cognitive, and physiological well-being. On the other hand, poor sleep patterns may lead to several diseases, affecting both physiological and cognitive functions, which causes worsened general health conditions. For that reason, it is important to understand subjects' sleep behavior and analyzing changes in sleep characteristics has become one a research area, where the different major reasons and causes, which are directly or indirectly responsible for sleep deprivation, need to be identified. All these reasons increase the demands for a brief comparative analysis of the sleep monitoring system. This chapter mainly focuses on the different methods and procedures for analyzing sleep behavior changes in the different stages of sleep. The authors also briefly focus on how the age and gender of subjects may affect their sleep quality. The chapter also offers a systematic review of how artificial intelligence techniques make sleep stage classifications easier. Another important aspect of this chapter is a brief analysis of the different biosignals and their clinical characteristics to measure sleep irregularities.
Published Version
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