Sleep Tracking for Bipolar Disorder
Sleep is the earliest warning sign of bipolar episodes. Not total hours — the variability from night to night. Steadyline tracks sleep alongside mood, energy, and irritability to catch what you'd miss alone.
Sleep is the first domino
When sleep shifts, everything follows. Research from Ortiz et al. (2025) found that day-to-day variability in sleep duration is more predictive of episode relapse than total sleep hours. Sleeping 6 hours one night, 9 the next, then 5 — that instability matters more than averaging 7 hours.
Most people with bipolar disorder discover this the hard way. You wake up at 3am feeling completely alert — not anxious, just awake. You think nothing of it. Three days later, you're in a hypomanic episode that a tracker could have flagged six days earlier.
What Steadyline tracks about sleep
- Duration — total hours, tracked daily
- Quality — how rested you actually feel
- Variability — the night-to-night consistency that research links to episode prediction
- Correlation with mood — AI connects sleep patterns to mood, energy, and irritability shifts
The research behind it
Multiple peer-reviewed studies support sleep tracking as a clinical tool for bipolar disorder:
- Sleep variability predicted hypomania onset with sensitivity 0.94 (Ortiz et al., J Affect Disord, 2025)
- Wearable sleep data improved episode detection by 40% when combined with mood logs
- Two consecutive nights of reduced sleep is a stronger signal than one extreme night
Steadyline is built on this evidence. Not on wellness trends.
Sleep + mood + energy = the full picture
Sleep alone doesn't tell the whole story. Steadyline combines sleep data with mood, energy, irritability, and psychomotor changes to give you a multi-dimensional view of your stability. The AI analyzes patterns across all these signals to detect early warning signs before you notice them.
Related reading
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