Sleep Quality Score from Wearable Data

Calculate composite sleep quality score from wearable-derived metrics including total sleep time, sleep efficiency, REM%, deep sleep%, and wake events.

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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 composite sleep quality score from wearable-derived metrics including total sleep time, sleep efficiency, REM%, deep sleep%, and wake events

Each component has a specific meaning:

  • Sleep efficiency — The sleep efficiency recorded for the scenario being assessed.
  • REM% — The rem% recorded for the scenario being assessed.
  • Deep sleep% — The deep sleep% recorded for the scenario being assessed.
  • Wake events — The wake events recorded for the scenario being assessed.

Note: Interpret the wearable sleep quality score result against the thresholds and context described above.

How to Use

Enter the sleep efficiency, REM%, deep sleep%, wake events for the scenario you are assessing. Calculate composite sleep quality score from wearable-derived metrics including total sleep time, sleep efficiency, REM%, deep sleep%, and wake events. Use the wearable sleep quality score result to inform your calculation.

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Frequently Asked Questions