Every Feature You Need to Understand Your Sleep

From clinical sleep scores to personalized exercise-sleep correlations — built on peer-reviewed science, not guesswork.

Sleep Score (0–100)

A sleep score you can trust — because you can see the formula

SleepAnalytics calculates your score from 8 transparent components, each derived from published clinical standards. No black boxes.

  • Duration (25 pts) — NSF age-adjusted recommendations
  • Efficiency (20 pts) — Total sleep / Time in bed
  • Latency (10 pts) — Time to fall asleep
  • WASO (10 pts) — Wake after sleep onset
  • Deep Sleep % (10 pts) — Optimal range 15–20%
  • REM % (10 pts) — Optimal range 20–25%
  • HRV Trend (10 pts) — vs. your 30-day personal baseline
  • Regularity (5 pts) — SRI deviation from target

The score updates every morning based on the previous night's data. Compare it to:

Apple Health's Sleep Score (watchOS 10+) uses only 3 factors. Ours uses 8, including your HRV trend and exercise patterns.

Sources: Pittsburgh Sleep Quality Index (Buysse et al. 1989), NSF clinical thresholds (Ohayon et al. 2017).

Stage Analysis & Hypnogram

See exactly what happened while you slept

A hypnogram shows the full sequence of your sleep stages across the night — Core (N1/N2), Deep (N3), REM, and Awake. Most people cycle through 4–6 of these 90-minute arcs each night.

Target Ranges

  • Deep (N3): 15–25% of Total Sleep Time
  • REM: 20–25% of Total Sleep Time
  • Core (N1+N2): 45–55% of Total Sleep Time
Powered by Apple Watch AASM-validated stage detection (Series 4+). Accelerometer, optical PPG, and machine learning working together.

Exercise-Sleep Correlation ✦ Premium

Discover how your training affects your sleep — automatically

SleepAnalytics analyzes the last 90 days of your workouts and sleep data to find your personal patterns. This is the only iOS app that does this automatically — for every workout type in Apple Health.

Example insight: "Your HIIT workouts within 3 hours of bedtime are associated with 12% less deep sleep."

Statistical patterns emerge after 14 nights of matched workout-sleep data. The more you use it, the smarter it gets.

What SleepAnalytics looks for:

  • Workout type vs. deep sleep %
  • Time of day vs. sleep onset latency
  • Training load vs. overnight HRV recovery
  • Consecutive hard days vs. WASO

Works with running, swimming, cycling, strength, yoga, HIIT, and any type recorded in Apple Health.

Sleep Regularity Index (SRI)

Consistency matters as much as duration

The SRI measures the consistency of your sleep/wake patterns over time. It compares your sleep state at each time of day to the same time the previous day — across your full tracked history.

  • Scores range 0–100.
  • Population median: ~60 (UK Biobank, n=70,000+)
  • SRI ≥75 indicates good regularity
  • SRI <41 → 53% higher all-cause mortality risk

Source: Windred et al. (eLife, 2024); Phillips et al. (2017).

Why regularity matters: In some analyses, the consistency of your sleep timing is a stronger predictor of long-term health outcomes than sleep duration itself.

SleepAnalytics shows your 7-day and 30-day SRI trend. Practical improvements: consistent wake time, limiting weekend sleep drift, avoiding shift-work patterns.

Circadian Intelligence

Know when you're wired to sleep and wake

🌅 Chronotype
Early bird, intermediate, or night owl — estimated from your actual sleep timing data.
✈️ Social Jet Lag
The difference between your work-week and weekend mid-sleep time. ≥2 hours is clinically associated with metabolic and mood risks.
🌡️ Wrist Temperature
Apple Watch Series 8+ only. Circadian deviation signal — changes mark your body's sleep window.

Recovery Tracking

📉 Sleep Debt

14-day rolling acute sleep deficit, calculated as the gap between your actual sleep and your age-adjusted NSF recommendation. SleepAnalytics shows how many recovery nights you need to return to baseline.

Research: 14 days at 6h/night accumulates cognitive impairment equivalent to 48h total sleep deprivation. Recovery takes approximately 4 days per hour of debt. (Van Dongen 2003; Kitamura 2016)

💓 HRV Baseline

Your overnight HRV compared to your personal 30-day rolling baseline. HRV drops with illness, overtraining, alcohol, and stress — often before you feel it subjectively.

SleepAnalytics tracks trends, not just raw values, because your baseline matters more than population averages.

Apple Watch + Garmin Support

One app. Every wearable you already own.

SleepAnalytics reads sleep and workout data from Apple Health — which means any device that syncs to Apple Health works automatically. No extra accounts, no bridging apps.

DeviceSleep StagesHR/HRVWorkout DataSpO2Wrist Temp
Apple Watch Series 4–7✅✅✅——
Apple Watch Series 6+✅✅✅✅—
Apple Watch Series 8+✅✅✅✅✅
Garmin (via Apple Health)⚠️ model-dependent✅✅varies—
iPhone only (no wearable)Sleep/Wake onlylimited✅——

Privacy by Design

🔒 100% On-Device
All processing happens locally. No health data ever leaves your iPhone.
📋 Read-Only HealthKit
We never write to your Health data without explicit permission.
🚫 No iCloud Backup
Sleep data is stored locally on-device and excluded from iCloud backups (App Store 5.1.3 compliant).

Continuously Growing

Built with athletes. Grown by community feedback.

🗺️ Current Roadmap

  • Garmin stage detection improvements
  • Smart alarm: cycle-based optimal wake time
  • Apple Health export for medical appointments
  • Oura Ring support (via Apple Health)
  • watchOS app with sleep score complication

📬 Missing Something?

We read every feature request. Your feedback directly influences the roadmap — Garmin support started as a community request.

features@analyticszone.app

Start tracking tonight.

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Download on the App Store