Longitudinal Analysis of Stress Patterns Derived from Physiological Data During the Four Menstrual Phases

Abstract

This project explores how physiological stress varies across the four phases of the menstrual cycle using wearable heart rate variability (HRV) data. By analyzing LF/HF ratios over 90 days from 18 participants, the study identiJies distinct circadian stress patterns unique to each hormonal phase. The results suggest that wearables can reveal real-time, hormone-driven shifts in stress and may support the development of personalized, cycle-aware wellness tools.

Video

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