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Volume 14 No. 05
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Scientific Investigations

Ability of the Multisensory Jawbone UP3 to Quantify and Classify Sleep in Patients With Suspected Central Disorders of Hypersomnolence: A Comparison Against Polysomnography and Actigraphy

Jesse D. Cook, BS; Michael L. Prairie, BS; David T. Plante, MD
Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin

Study Objectives:

To evaluate the ability of a multisensory fitness tracker, the Jawbone UP3 (JB3), to quantify and classify sleep in patients with suspected central disorders of hypersomnolence.

Methods:

This study included 43 patients who completed polysomnography (PSG) and a Multiple Sleep Latency Test (MSLT) with concurrent wrist-worn JB3 and Actiwatch 2 (AW2) recordings for comparison. Mean differences in nocturnal sleep architecture variables were compared using Bland-Altman analysis. Sensitivity, specificity, and accuracy were derived for both devices relative to PSG. Ability of the JB3 to detect sleep onset rapid eye movement periods (SOREMPs) during MSLT naps was also quantified.

Results:

JB3 demonstrated a significant overestimation of total sleep time (39.6 min, P < .0001) relative to PSG, but performed comparably to AW2. Although the ability of the JB3 to detect epochs of sleep was relatively good (sensitivity = 0.97), its ability to distinguish light, deep, and REM sleep was poor. Similarly, the JB3 did not correctly identify a single SOREMP during any MSLT nap opportunity.

Conclusions:

The JB3 did not accurately quantify or classify sleep in patients with suspected central disorders of hypersomnolence, and was particularly poor at identifying REM sleep. Thus, this device cannot be used as a surrogate for PSG or MSLT in the assessment of patients with suspected central disorders of hypersomnolence.

Citation:

Cook JD, Prairie ML, Plante DT. Ability of the multisensory Jawbone UP3 to quantify and classify sleep in patients with suspected central disorders of hypersomnolence: a comparison against polysomnography and actigraphy. J Clin Sleep Med. 2018;14(5):841–848.




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