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HYPERTENSION (2015)
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Hyatt Moore et al.
PLOS ONE (2014)
Periodic limb movement screening as an additional feature of Emfit sensor in sleep-disordered breathing studies
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JOURNAL OF NEUROSCIENCE METHODS (2009)
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T. Prill et al.
PHYSIOLOGICAL MEASUREMENT (2006)
The validation of a new actigraphy system for the measurement of periodic leg movements in sleep
MA King et al.
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Overview of recruitment for the osteoporotic fractures in men study (MrOS)
JB Blank et al.
CONTEMPORARY CLINICAL TRIALS (2005)
Computer-assisted detection of nocturnal leg motor activity in patients with restless legs syndrome and periodic leg movements during sleep
R Ferri et al.
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TC Wetter et al.
SLEEP (2004)