Abstract Details

Title Commercially-available wearable provides valid estimate of sleep stages

Topic Sleep

Presentation(s) P3 - Poster Session 3 (5:30 PM-6:30 PM)

Poster/Presentation
Number 7-042

Objective

The purpose of this study was to determine accuracy of a commercially available device to estimate sleep stages.

Background Although many wearables purport to accurately distinguish between light and deep sleep, little information on the validity of using wearables in this manner is available.

Design/Methods Overnight recordings were made on 55 individuals wearing a Garmin wearable device (vivosmart 3) on the nondominant wrist. EEG data was simultaneously collected using a take home device (Sleep Profiler) that recorded three channel EEG for sleep staging. EEG data was scored by a Registered Polysomnographic Technologist using AASM guidelines. An automated algorithm to distinguish sleep stages (wake, light (N1 and N2), deep, and REM was developed using a neural network approach.

Results

Of the 55 participants, 31% (17) were female and 69% were (38) male. (Age 35.5 +/- 8.7 years old; BMI 26.3 +/- 6.4) Per epoch accuracy of 69.7% was achieved, with a Cohen’s kappa of 0.54 +/- 0.12. A sleep sensitivity of 95.8% and a wake specificity of 73.4% was obtained.

Conclusions This study demonstrates that a wearable device employing optical PPG and accelerometry signals is a valid method to estimate sleep stages in a cohort of young adults.

Authors/Disclosures
suzanne stevens, MD (University of KS Department of Neurology) PRESENTER	Dr. Stevens has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Jazz Pharmaceuticals. Dr. Stevens has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Harmony Biosciences. Dr. Stevens has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Inspire Medical.
	No disclosure on file

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