Proceedings of the ICTs for improving Patients Rehabilitation Research Techniques · 2013 · 271 citations · 14 references
NursingHealth InformaticsMobile Health InformaticsSleep MedicineMobile SensingSleep AssessmentSleep BehaviorSleep HealthSleep PhysiologyWearable Health TechnologiesMonitoring Sleep DurationObjective Sleep MeasurementSleep Quality AssessmentSleep TrackingSleepiness MeasurementSubjective Sleep MeasurementWearable DevicesWearable Medical Devices
How we feel is greatly influenced by how well we sleep. Emerging quantified-self apps and wearable devices allow people to measure and keep track of sleep duration, patterns and quality. However, these approaches are intrusive, placing a burden on the users to modify their daily sleep related habits
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Mark Hall, Eibe Frank, Geoffrey Holmes et al. · ACM SIGKDD Explorations Newsletter · 2009 · 17.8K citations
Steven L. Salzberg, Alberto M. Segre · 1994 · 5.8K citations
Hong Lu, Wei Pan, Nicholas D. Lane et al. · 2009 · 580 citations
The Jigsaw continuous sensing engine for mobile phone applications
Hong Lu, Jun Yang, Zhigang Liu et al. · 2010 · 564 citations
Functional neuroimaging of normal human sleep by positron emission tomography
P. M Aquet · 2000 · 498 citations
Medicine, Neurology, Neuroscience +13