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AI & wellness

How to Read Your Wearable Data

3 min read

HRV, resting heart rate, sleep scores, and strain confuse more than they help without context. Learn what to trust, what to ignore, and how to act on trends.

smartwatch showing heart rate and sleep stats

Wearables excel at trends, not verdicts. A single low HRV morning after a hard leg day is normal; a two-week drift down with irritability and poor sleep is a signal to deload. Compare you to you, not leaderboard strangers, and let weekly averages rather than single mornings drive your training decisions.

Resting heart rate rising five to ten beats above baseline often precedes illness, overreaching, or dehydration. Sleep stage percentages vary by device algorithm—use duration, consistency, and how you feel as anchors. Strain scores should inform choice: easy day versus push day, not guilt.

Pick three numbers to review weekly: sleep midpoint variance, resting HR average, and training load. Change habits when two of three worsen; do not chase daily green rings as moral worth. Data serves decisions, not anxiety.

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How to Read Your Wearable Data

Wearables excel at trends, not verdicts. A single low HRV morning after a hard leg day is normal; a two-week drift down with irritability and poor sleep is a signal to deload. Compare you to you, not leaderboard strangers, and let weekly averages rather than single mornings drive your training decisions.

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