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Calcimator

Sleep Tracking Accuracy Calculator

Estimate sleep quality score and sleep-stage detection accuracy based on sensor type, sleep habits, age, and sleep environment factors.

Inputs

Results

Sleep quality score (0-100)

96

Sleep efficiency (%)

94.8

Total sleep time (hours)7.58
Deep sleep (min)93
REM sleep (min)114
Light sleep (min)248
Stage detection accuracy (%)70
Sleep/wake accuracy (%)88
Expected Light (%)54.5%
Estimated Light (%)54.5%
How to Use This Calculator
  1. Enter your total time in bed (hours) and how long it took to fall asleep (minutes).
  2. Record the number of night awakenings and average duration of each awakening (minutes).
  3. Select your wearable's sensor type (accelerometer-only, accel+PPG, accel+PPG+SpO2, or EEG headband).
  4. Enter your age and hours before bed that you last consumed caffeine.
  5. Review sleep quality score, sleep efficiency (%), estimated deep sleep and REM sleep minutes.

How the result changes with Time in bed (hours)

Time in bed (hours)Sleep quality score (0-100)Sleep efficiency (%)
2.569.783.3
6.2586.793.3
1183.396.2
157197.2

What each input means

Time in bed (hours)
Total hours spent in bed from lights-off to getting up.
Time to fall asleep (min)
Minutes from lights-off until falling asleep (sleep onset latency).
Night awakenings
Number of times you wake during the night.
Avg awakening duration (min)
Average duration of each night awakening in minutes.
Wearable sensor type
Select the wearable sensor type
Age (years)
Your age affects expected sleep stage proportions and optimal duration.
Last caffeine (hours before bed)
Hours before bedtime of last caffeine intake. <6 hours reduces deep sleep.

What each result means

Sleep quality score (0-100)
Composite sleep quality score based on duration, efficiency, onset, awakenings, and stage balance.
Sleep efficiency (%)
Percentage of time in bed actually spent sleeping. Target: >85%.
Total sleep time (hours)
Actual estimated sleep time excluding onset and awakenings.
Deep sleep (min)
Estimated deep (N3/slow-wave) sleep duration.
REM sleep (min)
Estimated REM sleep duration.
Light sleep (min)
Estimated light (N1+N2) sleep duration.
Stage detection accuracy (%)
Expected accuracy of sleep stage classification by your sensor type.
Sleep/wake accuracy (%)
Expected accuracy of basic sleep vs. wake detection.

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    4 parameters
    Time in bed (hours) = 8, Time to fall asleep (min) = 15, Night awakenings = 2, Avg awakening duration (min) = 5 = 7 input(s) provided
  2. Calculate Sleep quality score
    Sleep quality score
    96 = 96
  3. Calculate Sleep efficiency
    94.8 = 94.8
  4. Calculate Total sleep time
    Total sleep time = totalSleepMin / 60
    7.58 = 7.58
  5. Calculate Deep sleep
    Deep sleep
    93 = 93

Engine last updated . Checked against 2 independently-derived tests — how we verify calculators.

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