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Ability of the Fitbit Alta HR to quantify and classify sleep in patients with suspected central disorders of hypersomnolence: A comparison against polysomnography
Author(s) -
Cook Jesse D.,
Eftekari Sahand C.,
Dallmann Erika,
Sippy Megan,
Plante David T.
Publication year - 2019
Publication title -
journal of sleep research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.297
H-Index - 117
eISSN - 1365-2869
pISSN - 0962-1105
DOI - 10.1111/jsr.12789
Subject(s) - polysomnography , sleep (system call) , medicine , rapid eye movement sleep , sleep onset , slow wave sleep , cardiology , audiology , eye movement , anesthesia , electroencephalography , ophthalmology , insomnia , apnea , psychiatry , computer science , operating system
Measuring sleep duration and early onset rapid eye movement sleep ( REMS ) is critical in the assessment of suspected central disorders of hypersomnolence ( CDH ). Current multi‐sensor activity trackers that integrate accelerometry and heart rate are purported to accurately quantify sleep time and REMS ; however, their utility in suspected CDH has not been established. This investigation aimed to determine the ability of a current, multi‐sensor tracker, Fitbit Alta HR ( FBA ‐ HR ), to quantify and classify sleep in patients with suspected CDH relative to polysomnography ( PSG ). Forty‐nine patients (46 female; mean age, 30.3 ± 9.84 years) underwent ad libitum PSG with concurrent use of the FBA ‐ HR . FBA ‐ HR sleep variable quantification was assessed using Bland‐Altman analysis. FBA ‐ HR all sleep ( AS ), light sleep ( LS ; PSG N1 + N2), deep sleep ( DS ; PSG N3) and REMS classification was evaluated using epoch‐by‐epoch comparisons. FBA ‐ HR ‐detected sleep‐onset rapid eye movement periods ( SOREMP s) were compared against PSG SOMREMP s. FBA ‐ HR displayed significant overestimation of total sleep time (11.6 min), sleep efficiency (1.98%) and duration of deep sleep (18.2 min). FBA ‐ HR sensitivity and specificity were as follows: AS , 0.96, 0.58; LS , 0.73, 0.72; DS , 0.67, 0.92; REMS , 0.74, 0.93. The device failed to detect any nocturnal SOREMP s. Device performance did not differ appreciably among diagnostic subgroups. These results suggest FBA ‐ HR cannot replace EEG ‐based measurements of sleep and wake in the diagnostic assessment of suspected CDH , and that improvements in device performance are required prior to adoption in clinical or research settings.