Exercise Readiness from Sleep Score

Calculate exercise readiness and recommended training intensity from wearable sleep score, sleep duration, and HRV data using a composite readiness algorithm.

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Clinical Guidance

BMI is a screening measure of body size, not a direct measure of body fat. The standard WHO categories are underweight (<18.5), normal (18.5–24.9), overweight (25–29.9), and obese (≥30).

BMI can overestimate body fat in athletes with high muscle mass and underestimate it in older adults with low muscle mass. Interpret it alongside waist circumference and clinical context rather than as a standalone diagnosis.

⚕ Clinical Disclaimer: These calculators are for educational and reference purposes only. Always verify results with qualified clinical judgment and current clinical guidelines. Do not use as a sole basis for medical decisions.
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How It Works

Calculate exercise readiness and recommended training intensity from wearable sleep score, sleep duration, and HRV data using a composite readiness algorithm

Each component has a specific meaning:

  • Sleep duration — The sleep duration recorded for the scenario being assessed.
  • HRV data — The hrv data recorded for the scenario being assessed.

Note: Interpret the sleep-based readiness result against the thresholds and context described above.

How to Use

Enter the sleep duration, HRV data for the scenario you are assessing. Calculate exercise readiness and recommended training intensity from wearable sleep score, sleep duration, and HRV data using a composite readiness algorithm. Use the sleep-based readiness result to inform your calculation.

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Frequently Asked Questions