Abstract
A companion disclosure computes a single overnight resting-autonomic figure (heart-rate variability, HRV) over the in-bed window, independent of the device's sleep/wake staging and aggregated with a robust estimator (the median), so that movement misclassification in movement-disordered sleep cannot corrupt it. Daytime sleep — naps — is discarded by mainstream consumer trackers or folded into a daily total. Yet excessive daytime sleepiness and sudden-onset daytime sleep ("sleep attacks") are a recognized part of Parkinson's disease, so naps carry information specifically relevant to that population. This disclosure extends the method to every individual sleep session, night and nap alike: each session is analyzed identically over its own in-window span (robust-median HRV, resting heart rate, confidence gating). It further discloses two nap-effect reads derived from the per-session figures: (a) a nap measured against the person's own nap baseline (a like-for-like comparison), and (b) a nap-day n-of-1 comparison — the person's evening and next-morning resting-autonomic figures on days that include a nap versus days that do not — surfaced as a within-person observation, never a causal or clinical claim. Because mainstream trackers discard naps, neither read is available from them.
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Recommended Citation
ziemski, gerard, "Nap-level autonomic (heart-rate-variability) tracking and a nap-day recovery comparison for daytime sleepiness in Parkinson's disease, extending a staging-independent in-bed-window method", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10454