Feature

Menstrual Tracking

Tracking of menstrual cycles, fertility windows, and related symptoms using logged data and physiological measurements. Users log period start/end dates, flow intensity, and symptoms (cramps, mood, energy); algorithms predict future periods and fertile windows based on cycle history. Advanced tracking incorporates basal body temperature (BBT)—skin temperature rises ~0.3°C after ovulation due to progesterone—enabling more accurate ovulation detection than calendar methods alone. Some devices detect the luteinizing hormone (LH) surge preceding ovulation. Cycle tracking helps users understand patterns affecting energy, sleep, and athletic performance throughout the month. For fertility planning, combining multiple indicators (temperature, cervical mucus, LH) improves accuracy over single-method tracking. Cycle irregularities may indicate conditions warranting medical evaluation (PCOS, thyroid disorders). Privacy considerations are significant given sensitive health data; users should understand data storage and sharing policies. Cycle predictions improve with more logged cycles, typically requiring 3+ months of data.

4 devices with this feature