Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography is a research paper published in SLEEP (2020). On theSindex it has a DataRank of 0. It has been cited 154 times.
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National Science Foundation
Grant: 1622766
National Institutes of Health
Grant: UL1TR002014
National Institute on Aging
Grant: SBIR R43AG056250
NIA NIH HHS
Grant: R44 AG056250
NIA NIH HHS
Grant: R43 AG056250
National Institutes of Health
Grant: 2UL1TR002014-05A1
Penn State Clinical and Translational Science Institute
National Institutes of Health
Grant: 1R43AG056250-01
Non-pharmacological improvement of sleep structure in older people
College of Health and Human Development of the Pennsylvania State University
National Center for Advancing Translational Sciences
FWCI
16.96
Citation Percentile
1.0%
Influential Citations
5
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of The long-term and short-term effects of ambient air pollutants on sleep characteristics in the Chinese population: big data analysis from real world by sleep records of consumer wearable devices
Additional file 1 of The long-term and short-term effects of ambient air pollutants on sleep characteristics in the Chinese population: big data analysis from real world by sleep records of consumer wearable devices