Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8632957 | Metabolism | 2018 | 10 Pages |
Abstract
The field of sleep is in many ways ideally positioned to take full advantage of advancements in technology and analytics that is fueling the mobile health movement. Combining hardware and software advances with increasingly available big datasets that contain scored data obtained under gold standard sleep laboratory conditions completes the trifecta of this perfect storm. This review highlights recent developments in consumer and clinical devices for sleep, emphasizing the need for validation at multiple levels, with the ultimate goal of using personalized data and advanced algorithms to provide actionable information that will improve sleep health.
Keywords
CPCFDAHSATAASMBCGHFCPAPEOGLFCNREMREMobstructive sleep apneaAmerican Academy of Sleep MedicineCardiopulmonary couplingValidationElectroencephalogramelectrooculogramelectromyogramEMGECGelectrocardiogramAlgorithmBallistocardiogramOsarapid eye movementdevicesFood and Drug AdministrationMobile healthnon-REMPositive airway pressureHome monitoringEEGPSGPolysomnography
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Authors
Matt T. Bianchi,