A full night isn’t one block of sleep — it’s four to six cycles, each moving from light to deep to REM. How many cycles you complete, how fast you first reach REM, and how broken the night is all shape how restored you feel, often more than the raw number of hours. This is background, not medical advice.
A cycle runs roughly 90 minutes: light sleep, then deep, then REM, repeating four to six times across the night. The mix shifts as you go — deep sleep is front-loaded into the first few cycles, while REM stretches longer toward morning. That’s why waking at 6am feels different from waking at 3am: you’re surfacing from a different part of the cycle.
REM latency is the time from falling asleep to your first REM period, typically somewhere around 70–120 minutes. A very short latency can reflect REM pressure — the body catching up after sleep debt — while an unusually long one can mean REM was pushed back, for example after alcohol or a fragmented early night. It’s a pattern to notice over time, not a diagnosis.
Two nights with identical total hours can leave you feeling very different if one is smooth and the other is stitched together from dozens of brief stage switches. A fragmentation index — stage transitions per hour of sleep — captures that, independent of how long you were awake. Common drivers are noise, a warm room, late meals, alcohol, stress, and untreated breathing issues.
“I slept seven hours but feel wrecked” usually isn’t a lie — it’s architecture. Seven hours in five clean cycles restores far more than seven hours chopped into fragments with a delayed, truncated REM. Total time sets the ceiling; the shape of the night decides how close you get to it.
Vitra derives your sleep cycles, REM latency, a fragmentation index and your early-night deep sleep from the stage data your Oura ring already records, and lays the whole night on a radial clock so the shape reads at a glance — deep front-loaded, REM building toward morning, and any wake spikes exactly where they fell. If a night looks badly fragmented again and again, that’s a conversation for a clinician, not an app.
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