Wearable-enhanced phase detection. Basal body temperature, RHR patterns, and HRV variability identify follicular and luteal shifts and help predict ovulation.
Menstrual, follicular, ovulatory, or luteal
Current day in cycle
Forecast based on historical data
Daily symptom tracking
Phase-correlated energy patterns
Hormonal mood fluctuations
Estimated hormonal patterns
Cycle length variations
Anomaly tracking
Dysmenorrhea tracking
Heavy or light flow detection
Premenstrual symptom severity
Medical note upload
Treatment tracking
Ovulatory markers
Autonomic changes across cycle
Cycle data contextualizes every VALT score. Phase-awareness helps prevent false alarms across rebound, stress, and readiness.
Multi-wearable cycle prediction
Phase-score integration across health dimensions
Symptom tracking with biometric correlation
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