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Metabolism. 2018 Jul;84:99-108. doi: 10.1016/j.metabol.2017.10.008. Epub 2017 Dec 8.

Sleep devices: wearables and nearables, informational and interventional, consumer and clinical.

Author information

1
Neurology Department, Massachusetts General Hospital, Wang 720, Boston, MA 02114, United States; Division of Sleep Medicine, Harvard Medical School, Boston, MA, 02115, United States. Electronic address: mtbianchi@partners.org.

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:

Algorithm; Devices; Home monitoring; Mobile health; Validation

PMID:
29080814
DOI:
10.1016/j.metabol.2017.10.008
[Indexed for MEDLINE]

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