Vinsamlegast notið þetta auðkenni þegar þið vitnið til verksins eða tengið í það: https://hdl.handle.net/1946/44345
Sleep is a complex process that involves a series of distinct stages, each with its own unique characteristics. Waking up during certain stages of sleep can have a significant impact on how we feel throughout the day, and waking up during deep sleep is particularly challenging due to its slow frequency of brain waves, lower heart rate, and slower breathing. The negative consequences of waking up during deep sleep include daytime sleepiness, difficulty concentrating, and fatigue, making it crucial to find ways to optimize the sleep-wake cycle. One promising approach to achieving this goal is through the use of sleep-tracking apps that use sensors to detect sleep stages and wake individuals up at an optimal time. In this paper, we describe the development of a sleep-tracking app that uses heart rate to detect sleep stages and wakes users up during a lighter stage of sleep, making the process more natural and gentle. We investigate the effectiveness of this app in waking people up during a lighter sleep stage and its potential benefits and drawbacks.
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Lokaverkefni.pdf | 6.66 MB | Opinn | Heildartexti | Skoða/Opna |