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Blood Oxygen (SpO2)

How accurate your wearable's blood oxygen reading actually is, especially the overnight number most devices report, and a real, documented accuracy gap by skin tone the research doesn't let us ignore.

Blood oxygen, or SpO2, shows up on nearly every modern watch and ring as a clean percentage, usually somewhere in the high 90s. It feels like a lab reading. It isn't one. The sensor shines red and infrared light through your skin and infers oxygen saturation from how much of each color bounces back, a method with real, well-documented limits, some of them specific to the device sitting on your wrist or finger, not just to blood oxygen itself. Here's what the research actually says about how well that estimate holds up, and where it holds up less evenly than the single number on your screen suggests.

What your device actually calls this
Scientific measurementPeripheral oxygen saturation (SpO2), estimated by shining red and infrared light through skin and inferring blood oxygen from the ratio of light absorbed, a method called pulse oximetry. It is an estimate, not a direct measurement the way an arterial blood gas test is.
DeviceWhat they call itWhat it actually measures
Apple Watch"Blood Oxygen app"An on-demand, roughly 15-second spot-check reading, available on Series 6 and later plus Ultra models. Not continuous or automatic overnight in the US market as of this writing.
Garmin"Pulse Ox"Can run as an on-demand spot check or as continuous all-day/overnight tracking, depending on device settings, unlike Apple's on-demand-only model.
Oura Ring"Blood Oxygen Sensing (SpO2)"Overnight-only by design. Measures during sleep periods longer than three hours and reports Average Blood Oxygen plus a separate Breathing Regularity score. No daytime spot-check exists on Oura.
Fitbit"Estimated Oxygen Variation" (EOV)Deliberately not a raw SpO2 percentage. It's a relative overnight graph showing how much blood oxygen fluctuates, with a red/yellow/green pattern flagging possible breathing disturbances, a different approach from every other device listed here.
Whoop"Blood Oxygen"Added with the 4.0 hardware generation. Overnight-only, paired with a skin temperature sensor that feeds into Recovery; no daytime spot-check, the same overnight-only design as Oura's ring.
RingConn"Blood Oxygen"Continuous PPG tracking, reported as a percentage rather than a relative graph, closer to Oura's or Garmin's approach than Fitbit's.
Samsung Galaxy Watch"Blood Oxygen"Available both on-demand and as part of overnight Sleep Coaching tracking.
Ultrahuman Ring"SpO2"One of Ultrahuman's core individual markers, tracked alongside HRV, resting heart rate, VO2 max, and temperature.
Amazfit"Blood Oxygen"Available both on-demand and as continuous overnight monitoring via the BioTracker sensor.
Withings ScanWatch"SpO2" (used for sleep apnea signal detection)Tracks blood oxygen, heart rate, movement, and respiratory rate overnight. SpO2 itself is FDA-cleared for AFib detection, but sleep apnea detection specifically has not received separate FDA clearance.

Two different, real findings, not one: general accuracy against a reference oximeter holds up reasonably well across the studies reviewed here. But a separate, well-documented body of research finds pulse oximetry accuracy, including in consumer wearables, is reduced by skin pigmentation, and the direction of that bias is more nuanced than a simple light-skin/dark-skin split, one study found devices missed a dangerously low reading in 21% of darkly pigmented subjects under low-perfusion conditions, versus about 1% in lightly pigmented subjects.

General accuracy: Emerging · see the file Accuracy by skin tone: Uncertain · see the file
How each device actually shows this

Sources: Apple's own support documentation (support.apple.com) for the Blood Oxygen app. Garmin's own Pulse Ox support pages (garmin.com) for on-demand vs continuous modes. Oura's own Blood Oxygen Sensing blog post and support article (ouraring.com) for overnight-only measurement and the two reported metrics. Fitbit's own help documentation for Estimated Oxygen Variation's relative-graph design. Whoop's own product documentation for the 4.0-generation blood oxygen sensor. Full study-by-study evidence lives on the Research Desk linked above.

Research Desk · live file
See the full Blood Oxygen evidence file
Every claim rated Established, Emerging, Uncertain, Insufficient, or Unsupported, with a research log reviewed against new studies on a rolling basis.
Open the Research Desk
More on Blood Oxygen
Blood Oxygen During Sleep: How Accurate Is What Your Watch Shows You
I dug into the validation research on wrist and ring SpO2 sensors during sleep to see how their overnight readings actually compare to lab-grade oximetry.
Does Your Wearable's Blood Oxygen Reading Work the Same for Everyone?
Skin pigmentation changes how light-based blood oxygen sensors perform. Here's what the research on pulse oximetry and wearables actually shows.
What's the Difference Between SaO2 and SpO2
SaO2 and SpO2 both describe blood oxygen, but one is drawn from an artery and one is estimated by light through skin. Here's what the research shows about the gap.
Can Your Watch's Blood Oxygen Sensor Actually Detect Sleep Apnea?
I looked into whether the SpO2 sensor on a smartwatch or ring can actually flag sleep apnea, and what the research says it can and can't tell you.
How Accurate Is the Apple Watch's Blood Oxygen Reading?
I looked at the controlled and clinical studies testing Apple Watch SpO2 against real blood gas readings. Here's what the numbers actually show.
How Do Wearables Actually Measure Blood Oxygen?
A look at the light-based sensing behind wearable SpO2 readings, what the research says it measures well, and where it runs into physical limits.
Does Poor Circulation Affect Blood Oxygen Sensor Accuracy?
Cold hands, low blood flow, weak signal. I looked at what the research says about how perfusion actually affects pulse oximeter readings.
Wrist Blood Oxygen Sensor vs Finger Pulse Oximeter Accuracy
A look at what testing on wrist-worn and finger pulse oximeters actually shows about agreement, error rates, and where each falls short.
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