Abstract
Consumer wearable devices, originally designed for general activity and sleep tracking, have increasingly been repurposed and specifically engineered for menstrual cycle and fertility monitoring, combining continuous physiological sensing with algorithmic cycle-phase prediction. A 2024 systematic review of wearable reproductive health technologies identified a growing evidence base supporting the accuracy of such devices for detecting the fertile window, ovulation, and differentiation between follicular and luteal phases, based on signals including basal body temperature, heart rate variability, and sleep architecture [1]. One widely studied consumer ring-based device has been validated for tracking sleep, temperature and heart rate alongside self-reported daily symptoms across the menstrual cycle in healthy women, demonstrating that consumer-grade sensors can capture physiologically meaningful cyclical patterns outside laboratory conditions [2].
References

This work is licensed under a Creative Commons Attribution 4.0 International License.
