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公开(公告)号:US20230248320A1
公开(公告)日:2023-08-10
申请号:US18013602
申请日:2021-08-03
Applicant: Fitbit, Inc.
Inventor: Belen Lafon , Aniket Sanjay Deshpande , Xi Zhang , Aravind Natarajan , Conor Joseph Heneghan , Hao-Wei Su , Lindsey Sunden
CPC classification number: A61B5/7275 , A61B5/01 , A61B5/681 , A61B5/7264 , A61B2562/0271 , A61B2562/04
Abstract: Temperature data acquired from a wearable device, for example at a user's wrist or within the device itself, can be used as a proxy to evaluate core body temperature changes. Sensor data may be provided to determine a skin temperature of a user and also an internal device temperature. A correlation between these two temperatures may be used to monitor subsequent temperature changes, which may be indicative of changes in the user's core body temperature. Temperature changes to the proxy temperature may be evaluated against a threshold to determine whether the user's core body temperature has also increased, which may be indicative of one or more physiological symptoms or events. Furthermore, additional physiological variables such as respiration rate, nocturnal heart rate, and heart rate variability may be analyzed for early signs of impending illness. A trained machine learning classifier can output the predicted illness status of an individual based on these parameters.