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Further, they also made the data easy to consume and understand.I could glance at a dashboard and see well-smoothed data that gave me a macro picture of my day.For me, the most valuable use case of the data is around fatigue and predicting some sickness.For example, my resting HR is usually in the 39-42bpm range.But wait a second you ask – how does a unit differentiate between sleep and non-sleep rest? Consider just lying around when you wake up and looking at your actual HR using the device, and then later in the day validate that the value shown on the app for RHR is your lowest HR value while awake.

In their case, they did more than just HR, but also things like perspiration and skin temperature.

Numerous models out there today that suck at sport/exercise are perfectly fine (even great) in non-sport conditions.

It’s usually the excessive movement that causes the challenges.

Now the value of all of this resting HR data is trending.

Coaches have long asked athletes to take and log their resting HR values day to day, usually using old-school methods like a heart rate chest strap, your finger taking your pulse manually, or some inexpensive devices that clip on your finger (this is how I used to do it).

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