If you’ve used one of the best sleep trackers or fitness trackers in the last few years, you’ll know how all-encompassing the data the device on your wrist can be. From blood-oxygen levels to calories and activity tracking, there’s a huge amount of data collected while you’re awake and moving, and just as much during sleep tracking. Whether it’s how long you’ve slept, the various stages of sleep and the timings of each, or attempting to diagnose conditions like sleep apnea, there’s a lot to dig into but it can be tough to do so; what patterns do you need to look for? What would be considered a “normal” sleep cycle? These questions, and plenty more, can make it tricky to interpret the data, especially for beginners.
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