Belen Lafon,Chris H. Sarantos,Conor Joseph Heneghan,Logan Niehaus,Jaclyn Leverett Wasson,Peter Colin Dess,Amir Bahador Farjadian,Zachary Todd Beattie,Atiyeh Ghoreyshi,Allison Shih Wu
申请号：
US16441536
公开号：
US10765409B2
申请日:
2019.06.14
申请国别(地区):
US
年份:
2020
代理人:
摘要：
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 (SpO2) 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.
