Labs Score REM From Brain Waves, Wearables Estimate It
Wearables infer REM from movement and pulse. Against a lab, the Oura Ring Gen3 differed by 4 to 6 minutes, and WHOOP by 21 in one review.
Evidence rating for the proposition “Consumer wearables measure sleep parameters with acceptable agreement against polysomnography”: Uncertain · KnowYourPrime Evidence Registry, Finding KYP-ER-0007
REM sleep is scored in a lab from brain waves, eye movements and chin muscle tone, not from dreaming. Wearables estimate it from movement and pulse. Against polysomnography, the Oura Ring Gen3 underestimated REM by 4.1 to 5.6 minutes in 96 adults, with 90.6% accuracy on REM epochs. A review of eight studies found WHOOP differed from the lab on REM by 21.0 minutes and Fitbit Charge 4 by 4.0. Across six devices, agreement on all stages ran 50% to 65%.
What is REM sleep?
A stage scored from body signals, not from dream reports. The American Academy of Sleep Medicine scoring rules recommend three EEG derivations, two electro-oculography derivations and one chin EMG. Scoring uses 30-second epochs.
That means brain waves, eye movements and muscle tone. The task force defined the phenomena of REM sleep and simplified the rules for its onset and end. It noted that studies are needed to test the reliability of the new rules.
A consumer device records none of these signals in the same way. Most wrist and ring devices estimate the stage from movement and pulse. See how wearables track sleep stages.
What is REM sleep proposed to do?
Balance the work of deep sleep in memory. A review describes memory replay during slow-wave sleep, which favors turning episodic memory into longer-lasting cortical memory. REM sleep that follows might balance local synaptic rescaling with a global synaptic renormalization process.
This is a proposed mechanism. The review gives no minutes target for REM. For deep sleep amounts, see how many hours of deep sleep are needed.
How close is a wearable's REM estimate to a lab?
It depends on the device. The Oura Ring Gen3 was tested in 96 healthy adults across up to three polysomnography nights. It underestimated REM sleep by 4.1 to 5.6 minutes. Sleep staging accuracy ranged from 75.5% for light sleep to 90.6% for REM.
In a single night with 35 adults, the Oura Ring did not differ from polysomnography for REM sleep. The Fitbit Sense 2 and Apple Watch Series 8 differed on light and deep sleep instead.
A review of eight studies of recent wearables found WHOOP closest on total sleep time and deep sleep but furthest on REM, at 21.0 minutes. Fitbit Charge 4 was closest on REM, at 4.0 minutes, with 86.5% sensitivity for REM.
Six devices were tested in one lab night with 53 adults. Agreement on all stages combined was 61% for Oura, 60% for WHOOP, 53% for Apple Watch and 50% for Garmin. That is not REM accuracy alone.
3 studies
- In 96 healthy adults, the Oura Ring Gen3 underestimated REM sleep by 4.1 to 5.6 minutes against polysomnography. Staging accuracy ranged between 75.5% for light sleep and 90.6% for REM.
- In a review of 8 studies, WHOOP differed from polysomnography by 21.0 minutes for REM sleep. Fitbit Charge 4 differed by 4.0 minutes and showed 86.5% sensitivity for REM.
- In 53 adults over one lab night, agreement with polysomnography for multi-state sleep categorization was 53% for Apple Watch S6, 50% for Garmin Forerunner 245, 51% for Polar Vantage V, 61% for Oura Ring Gen 2, 60% for WHOOP 3.0 and 65% for Somfit.
Do devices that read brain waves do better?
In one review, they did. A systematic review covered 60 papers on 34 EEG-based wearables. Its 42 validation studies were conducted across diverse populations and showed consistently high accuracy in sleep staging.
These are headbands and similar devices that record EEG. They are a different category from watches and rings.
What does this not settle?
The wearable results come from healthy adults over one to three lab nights. They say little about how a device scores REM in people with sleep disorders or at home over months. Each result is tied to one device and firmware version.
The lab standard is itself imperfect. The scoring task force noted the reliability of the rules still needed testing.
The REM validation results come from generally healthy adults tested for one to three nights in a lab, one device at a time. They do not establish accuracy in people with sleep disorders, at home over months, or on newer firmware.
Common questions
How is REM sleep defined?
By brain waves, eye movements and chin muscle tone recorded in a lab. The AASM scoring rules recommend three EEG derivations, two electro-oculography derivations and one chin EMG in 30-second epochs.
How accurate is a wearable at detecting REM?
It varies. The Oura Ring Gen3 underestimated REM by 4.1 to 5.6 minutes in 96 adults. A review found WHOOP differed by 21.0 minutes and Fitbit Charge 4 by 4.0 minutes.
Do all trackers agree with a sleep lab on stages?
No. In a six-device lab night with 53 adults, agreement on all stages ranged from 50% for Garmin to 65% for Somfit.
Do brain-wave headbands score REM better?
A review of 42 validation studies of EEG-based wearables reported consistently high accuracy in sleep staging. These are a different category from watches and rings.
What does REM sleep do?
One review proposes it balances the memory work of deep sleep by helping renormalize synaptic activity. It is a proposed mechanism and no minutes target is given.
Sources
- The visual scoring of sleep in adults.
- Sleep-A brain-state serving systems memory consolidation.
- Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography. [conflict statement: three authors report financial support from Oura]
- Accuracy of Three Commercial Wearable Devices for Sleep Tracking in Healthy Adults. [funding listed from Oura]
- Accuracy of Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP Versus Polysomnography: Systematic Review.
- A Validation of Six Wearable Devices for Estimating Sleep, Heart Rate and Heart Rate Variability in Healthy Adults. [conflict statement: the authors' lab receives funding and equipment from WHOOP]
- Sleep assessment using EEG-based wearables - A systematic review.
KnowYourPrime Evidence Registry: Finding KYP-ER-0016: Wearable Sleep Stage Accuracy