公开(公告)号：WO2018048951A3

公开(公告)日：2018-03-15

申请号：PCT/US2017/050344

申请日：2017-09-06

Applicant: FITBIT, INC.

Inventor： HENEGHAN, Conor Joseph ,  ARNOLD, Jacob Antony ,  BEATTIE, Zachary Todd ,  PANTELOPOULOS, Alexandros A. ,  RUSSELL, Allison Maya ,  FOECKLER, Philip ,  TUCKER, Adrienne Mason ,  LOPEZ, Delisa ,  LAFON, Belen ,  GHOREYSHI, Atiyeh

IPC: A61B5/024 ,  A61B5/00 ,  A61B5/11

Abstract: A system, computer-readable storage medium, and a method capable of, directly or indirectly, estimating sleep states of a user based on sensor data from movement sensors and/or optical sensors.

公开(公告)号：WO2018048951A2

公开(公告)日：2018-03-15

申请号：PCT/US2017/050344

申请日：2017-09-06

Applicant: FITBIT, INC.

Inventor： HENEGHAN, Conor Joseph ,  ARNOLD, Jacob Antony ,  BEATTIE, Zachary Todd ,  PANTELOPOULOS, Alexandros A. ,  RUSSELL, Allison Maya ,  FOECKLER, Philip ,  TUCKER, Adrienne Mason ,  LOPEZ, Delisa ,  LAFON, Belen ,  GHOREYSHI, Atiyeh

IPC: A61B5/024

Abstract: A system, computer-readable storage medium, and a method capable of, directly or indirectly, estimating sleep states of a user based on sensor data from movement sensors and/or optical sensors.

Abstract translation: 基于来自运动传感器和/或光学传感器的传感器数据，能够直接或间接地估计用户的睡眠状态的系统，计算机可读存储介质和方法。

公开(公告)号：WO2022040132A1

公开(公告)日：2022-02-24

申请号：PCT/US2021/046223

申请日：2021-08-17

Applicant: FITBIT, INC.

Inventor： LIU, Man-Chi ,  STATAN, Alexander ,  VICKERS, Derrick Steven ,  STETSON, Paul, Francis ,  PEREZ, Elena ,  LIN, James, Horng-Kuang ,  LAFON, Belen ,  SUNDEN, Lindsey, Michelle

IPC: A61B5/16 ,  A61B5/00 ,  A61B5/0533 ,  A61B5/0245

Abstract: Arousal events can be determined for a user associated with a wearable device, such as a user wearing a wearable computing device including one or more sensors. The one or more sensors may obtain EDA information that may determine a sympathetic nervous system response of the user, which may be responsive to an arousal event or an activation. Detection of events that increase the EDA response may provide information to the user regarding arousal events and provide recommendations to the user to address the arousal events to decrease their response.

公开(公告)号：WO2022035646A1

公开(公告)日：2022-02-17

申请号：PCT/US2021/044344

申请日：2021-08-03

Applicant: FITBIT, INC.

Inventor： LAFON, Belen ,  DESHPANDE, Aniket Sanjay ,  ZHANG, Xi ,  SUNDEN, Lindsey Michelle ,  NATARAJAN, Aravind ,  HENEGHAN, Conor Joseph ,  SU, Hao-Wei

IPC: A61B5/01 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/11

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.

公开(公告)号：WO2020006072A1

公开(公告)日：2020-01-02

申请号：PCT/US2019/039230

申请日：2019-06-26

Applicant: FITBIT, INC.

Inventor： LAFON, Belen ,  SARANTOS, Chris H. ,  HENEGHAN, Conor Joseph ,  NIEHAUS, Logan ,  WASSON, Jaclyn Leverett ,  DESS, Peter Colin ,  FARJADIAN, Amir Bahador ,  BEATTIE, Zachary Todd ,  GHOREYSHI, Atiyeh ,  WU, Allison Shih

IPC: A61B5/00 ,  A61B5/024 ,  A61B5/1455 ,  A61B10/00

Abstract: Health information for a woman can be used to predict timing of events related to the womans 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 2 ) 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.