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A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle
Jasinski, Rowan, Presby, Stevens, Chapman, Hanes, Capodilupo · 2024 · npj Digital Medicine 7(1):373
What this work gives Aellic
n = 11,590: only 80.6 % of women show the expected RMSSD amplitude across the cycle. A fixed offset would impose a pattern on one woman in five that she does not have — THE load-bearing argument for a per-person learned offset instead of a constant from the literature. It also supplies the shape that the two-strata model deliberately simplifies: resting heart rate has its minimum on cycle day 5 and its maximum only on day 26, so it rises during the fertile window already, rather than jumping after ovulation.
Where this sits in the engine
4 declared sites: constants and thresholds in the code that point at this entry.
- Cycle Phases and cycle-aware baselines 4 sites
Also in Cycle
- 2026 The diagnostic accuracy of wearable digital technology in detecting fertility window and menstrual cycles: a systematic review and Bayesian network meta-analysis
- 2020 The Effects of Menstrual Cycle Phase on Exercise Performance in Eumenorrheic Women: A Systematic Review and Meta-Analysis
- 2019 A Systematic Review and Meta-Analysis of Within-Person Changes in Cardiac Vagal Activity across the Menstrual Cycle: Implications for Female Health and Future Studies