Fitbit, Inc.

Allison Shih Wu

Conor Joseph Heneghan

Chris Hanrahan Sarantos

Jaclyn Leverett Wasson

Logan Niehaus

Atiyeh Ghoreyshi

Belen Lafon

Zachary Todd Beattie

Peter Colin Dess

Amir Bahador Farjadian

Health information for a woman can be used to predict timing of events related to the woman's menstrual cycle. If available, historical cycle information for a woman can be used to predict upcoming cycle events, such as the start and stop of menstruation. To improve the accuracy of those predictions, one or more health metrics are monitored for the woman that can be correlated with the menstrual cycle. These can include, for example, the resting heart rate (RHR), blood oxygen concentration (SpO) level, and hemoglobin concentration, among other such options. The metrics are monitored over time to determine patterns that can be correlated with menstrual cycle. This information can then be used to update the predictive model, as well as to update individual event predictions. Information about the predictions, and updates to the predictions, can be surfaced accordingly.

Menstrual cycle tracking

Growing community of inventors

San Francisco, CA, United States of America

Allison Shih Wu