Abstract
A companion disclosure (the robust overnight-HRV method) computes a robust overnight heart-rate- variability (HRV) figure over the in-bed window by deliberately treating dream-enactment movement as artifact to be absorbed, so the recovery figure stays trustworthy in movement-disordered sleep. This disclosure describes the inverse, complementary use of the same movement-independent in-bed window: quantifying the movement-active ("dream-enactment" / "restless") segments themselves as the signal, and trending their burden over time. From the same in-window stream, the method derives an active-sleep-burden figure — for example the fraction of in-window time that is movement-active, and the count, duration, and timing of active episodes — and tracks it night-to-night and, critically, across naps as well as nights. Mainstream consumer trackers either mislabel these periods as "awake" and discard them or never surface them as a longitudinal trend; in REM sleep behavior disorder (RBD) and Parkinson's disease, where dream-enactment is the clinically salient phenomenon, that discarded quantity is exactly the one worth trending. The result is a pair of complementary self-tracking trends from one window — a movement-robust recovery figure (HRV) and a movement-derived active-sleep-burden figure (disclosed here) — framed as general-wellness signals, not a diagnosis or a severity score.
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Recommended Citation
ziemski, gerard, "Active-sleep (dream-enactment) burden as a longitudinal self-tracking signal in movement-disordered sleep (REM sleep behavior disorder / Parkinson's), measured over a staging-independent in-bed window across nights and naps", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10455