On the heels of the Sense, Versa and Inspire 2 launch, Fitbit is giving some love to owners of existing devices. The new Fitbit SpO2 Signature clock face allows users to check their blood oxygen levels with ease.
Blood oxygen monitoring works automatically during the night while you sleep via red and infrared sensors on the back of the device. Smartwatches that have this include the Fitbit Ionic, Versa range and Fitbit Sense. Up to now you could only see an Estimated oxygen variation (EOV) graph in the accompanying smartphone app. But the new clock face is better.
How to install
To install it, go to the Fitbit app and click on the Today tab. Then tap your profile picture and your device image. This is what you do install any clock face – the procedure is no different. Choose Clock faces and then All clocks. In the search space (magnifying glass icon) type “SpO2 Signature”. When the clock face is found simply choose Select and then Install.
After that go about using your smartwatch as usual. About an hour or so after you wake up in the morning you’ll be able to see your nightly average SpO2 on the device. Values are calculated on a scale that goes up to 100%. Anything above 90% is considered okay, although you are more likely to be in the high 90s. If instead of the value you see a dotted line, then there was a problem in obtaining the readings.
Those with a Premium Subscription can also see weekly and monthly trends in the new Health Dashboard.
That’s it. If the app search does not throw up the clock face, it might be because it has not reached your region yet. In this case patience is your friend. You should also make sure your watch is running on the latest version of the operating system.
It’s worth pointing out, this functionality goes further than the above mentioned EOV readings. These have been available on Fitbit Charge 3, Fitbit Charge 4, Fitbit Ionic and Fitbit Versa series for a while now. The difference is that the new clock face actually spits out estimated blood oxygen saturation levels and range rather than just graphing variations.
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