Anwendende von Sleep Cycle zeigten tendenziell negative Veränderungen im Schlafverhalten, während die Schlafprotokollgruppe die meisten, tendenziell positiven Veränderungen aufwies. Insgesamt zeigten Mehrebenenmodelle kaum signifikante Interaktionseffekte, die auf Interventionseffekte in beiden App-Gruppen hindeuten. Analysiert wurden Facetten des subjektiven Schlafverhaltens sowie die Rolle der Schlafprokrastination. Zur Kontrolle füllte eine andere Gruppe nur Online-Schlafprotokolle ( n = 21) und eine weitere nur die Prä-post-Befragung ( n = 33) aus.
In Woche 1 nutzten sie die Analysefunktion und in Woche 2 zusätzlich die „intelligente“ Weckfunktion. Dazu nutzten 2 Interventionsgruppen neben einem Online-Schlafprotokoll eine kostenlose Schlaf-App ( Sleep Score, Fa. SleepScore Labs™, Carlsbad/CA, USA: n = 20 Sleep Cycle, Fa. Sleep Cycle AB, Göteborg, Schweden: n = 24). However, bedtime procrastination was correlated with poor sleep quality and should be addressed in sleep intervention programmes.ĭa Schlafprobleme unter Studierenden und im Leistungssport verbreitet sind und die Anwendung kommerzieller Schlaftechnologien potenziell nützlich, aber auch schädlich sein kann, wurden in dieser Studie die Effekte eines 2‑wöchigen Schlaf-Selbstmonitorings auf das Schlafverhalten von sportlich aktiven Studierenden untersucht ( n = 98, 21 ± 1,7 Jahre). Thus, student athletes do not seem to be as susceptible to non-validated sleep technologies as expected. The results indicate neither benefits nor negative effects of app-based sleep self-tracking. Bedtime procrastination was a significant predictor of several variables of sleep behaviour and quality. Sleep Cycle users showed trends toward negative changes in sleep behaviour, while the online sleep diary group showed more, tendentially positive, developments. Multilevel models did not show significant interactions, indicating intervention effects equal for both app groups. Facets of subjective sleep behaviour and the role of bedtime procrastination were analysed. As controls, one group answered the online sleep diary without intervention ( n = 21) and another the pre–post questionnaires only ( n = 33).
They used the app analysis function in week 1 and the ‘smart alarm’ additionally in week 2. Two intervention groups used a free sleep app ( Sleep Score SleepScore Labs™, Carlsbad, CA, USA: n = 20 or Sleep Cycle Sleep Cycle AB, Gothenburg, Sweden: n = 24) while answering online sleep diaries. We have developed algorithms that identify various sleep apnea events including obstructive apnea, central apnea, and hypopnea from the sonar reflections.As sleep problems are highly prevalent among university students and competitive athletes, and the application of commercial sleep technologies may be either useful or harmful, this study investigated the effects of a 2-week sleep self-monitoring on the sleep of physically active university students ( n = 98, 21 ± 1.7 years). We do this by transforming the phone into an active sonar system that emits frequency-modulated sound signals and listens to their reflections. Our system works with the phone away from the subject and can simultaneously identify and track the fine-grained breathing movements from multiple subjects.
#Sleep monitor app android portable
While portable recording systems are being developed for use in home settings, they require instrumenting either the patient and can result in high failure rates due to detachment of sensors during sleep.ĪpneaApp is a contactless solution for detecting sleep apnea events by monitoring the minute chest and abdomen movements caused by breathing on smartphones. Diagnosing sleep apnea in the clinic requires the polysomnography test, which is an expensive, time-consuming and labor-intensive process. Sleep apnea is a common medical disorder that is estimated to affect more than 18 million American adults and is linked to attention deficit/hyperactivity disorder, high blood pressure, diabetes, heart attack, stroke, and increased motor vehicle accidents.
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