公开(公告)号：US20230270377A1

公开(公告)日：2023-08-31

申请号：US18313108

申请日：2023-05-05

Applicant: Fitbit, Inc.

Inventor： Suraj Gowda ,  Conor Joseph Heneghan ,  Shelten Gee Jao Yuen ,  Anjian Wu ,  Daniel Joel Freschl ,  Peter W. Richards ,  Chris H. Sarantos ,  Jonathan Wonwook Kim

IPC: A61B5/00 ,  A61B5/0205

CPC classification number: A61B5/4815 ,  A61B5/4818 ,  A61B5/0205 ,  A61B5/7264 ,  A61B5/7267 ,  A61B5/082

Abstract: Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

公开(公告)号：US11678838B2

公开(公告)日：2023-06-20

申请号：US17136355

申请日：2020-12-29

Applicant: Fitbit, Inc.

Inventor： Suraj Gowda ,  Conor Joseph Heneghan ,  Shelten Gee Jao Yuen ,  Anjian Wu ,  Daniel Joel Freschl ,  Peter W. Richards ,  Chris H. Sarantos ,  Jonathan Wonwook Kim

IPC: A61B5/00 ,  A61B5/0205 ,  A61B5/08 ,  A61B5/024 ,  A61B5/06 ,  A61B5/01 ,  A61B5/145 ,  A61B5/369 ,  A61B5/389

CPC classification number: A61B5/4815 ,  A61B5/0205 ,  A61B5/4818 ,  A61B5/7264 ,  A61B5/7267 ,  A61B5/01 ,  A61B5/02405 ,  A61B5/02427 ,  A61B5/067 ,  A61B5/082 ,  A61B5/0816 ,  A61B5/14532 ,  A61B5/14539 ,  A61B5/14542 ,  A61B5/369 ,  A61B5/389 ,  A61B5/4809 ,  A61B5/4812 ,  A61B5/681 ,  A61B2562/0219

Abstract: Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

公开(公告)号：US20220248967A1

公开(公告)日：2022-08-11

申请号：US17582192

申请日：2022-01-24

Applicant: Fitbit, Inc.

Inventor： Hao-Wei Su ,  Logan Niehaus ,  Conor Joseph Heneghan ,  Johnathan Charlesworth ,  Subramaniam Venkatraman ,  Shelten Gee Jao Yuen

IPC: A61B5/0205 ,  G10L25/51 ,  A61B7/00 ,  A61B5/11 ,  A61B5/00

Abstract: Approaches described herein can determine one or more breathing phase patterns over a period of time using audio data captured by at least one microphone. The audio data can include one or more snores. A breathing phase pattern included within the period of time can be determined based at least in part on sensor data captured by one or more sensors in the electronic device. A determination can be made that a first breathing phase pattern represented by the audio data and a second breathing phase pattern represented by the sensor data are correlated. A determination can be made that the first breathing phase pattern represented by the audio data and the second breathing phase pattern represented by the sensor data both correspond to a user wearing the electronic device.

公开(公告)号：US11229369B2

公开(公告)日：2022-01-25

申请号：US16431576

申请日：2019-06-04

Applicant: Fitbit, Inc.

Inventor： Hao-Wei Su ,  Logan Niehaus ,  Conor Joseph Heneghan ,  Jonathan David Charlesworth ,  Subramaniam Venkatraman ,  Shelten Gee Jao Yuen

IPC: A61B5/0205 ,  G10L25/51 ,  A61B7/00 ,  A61B5/11 ,  A61B5/00 ,  A61B5/08 ,  A61B5/024

Abstract: Approaches described herein can determine one or more breathing phase patterns over a period of time using audio data captured by at least one microphone. The audio data can include one or more snores. A breathing phase pattern included within the period of time can be determined based at least in part on sensor data captured by one or more sensors in the electronic device. A determination can be made that a first breathing phase pattern represented by the audio data and a second breathing phase pattern represented by the sensor data are correlated. A determination can be made that the first breathing phase pattern represented by the audio data and the second breathing phase pattern represented by the sensor data both correspond to a user wearing the electronic device.

公开(公告)号：US11191466B1

公开(公告)日：2021-12-07

申请号：US16457582

申请日：2019-06-28

Applicant: Fitbit, Inc.

Inventor： Conor Joseph Heneghan ,  Alexander Statan ,  Jonathan David Charlesworth

IPC: A61B5/16 ,  A61B5/0205 ,  A61B5/00 ,  A61B5/11 ,  A61B5/145 ,  A61B5/01 ,  G16H50/30 ,  A61B5/1455 ,  A61B5/024

Abstract: Physiological variables, metrics, biomarkers, and other data points can be used, in connection with a non-invasive wearable device, to screen for, and predict, mental health issues and cognitive states. In addition to metrics such as heart rate, sleep data, activity level, gamification data, and the like, information such as text message and email data, as well as vocal data obtained through a phone and/or a microphone, may be analyzed, provided user authorization. Applying predictive modeling, one or more of the monitored metrics can be correlated with mental states and disorders. Identified patterns can be used to update the predictive models, such as via machine learning-trained models, as well as to update individual event predictions. Information about the mental state predictions, and updates thereto, can be surfaced to the user accordingly.

公开(公告)号：US20210169345A1

公开(公告)日：2021-06-10

申请号：US17123248

申请日：2020-12-16

Applicant: Fitbit, Inc.

Inventor： Jaclyn Leverett Wasson ,  Peter W. Richards ,  Lindsey Michelle Sunden ,  Corey Stephen O'Connor ,  Conor Joseph Heneghan ,  Xi Zhang ,  Hamed Vavadi ,  Chris Hanrahan Sarantos ,  Peter Colin Dess

IPC: A61B5/0205 ,  A61B5/00 ,  A61B5/1455 ,  A61B5/145 ,  G01N33/49 ,  G01N21/3577

Abstract: Disclosed herein is a ring-shaped wearable device for detecting biometrics with a light source and a photodetector directed towards a digit wearing the ring-shaped device. The ring can thus detect oxygen saturation of a wearer based on light transmitted through the wearer's finger. The ring can include power saving measures to extend the battery life. A motion sensor can help determine opportune moments for data collection such as when the wearer is still. The motion sensor can be used to remove noise from the data caused by motion. After data is collected or during data collection, the ring can wirelessly communicate the data to another portable electronic device such as a phone or watch.

公开(公告)号：US20200000441A1

公开(公告)日：2020-01-02

申请号：US16441536

申请日：2019-06-14

Applicant: Fitbit, Inc.

Inventor： 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

IPC: A61B10/00 ,  A61B5/0205 ,  A61B5/1455 ,  A61B5/145 ,  A61B5/11 ,  A61B5/00 ,  A61B5/01

Abstract: 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.

公开(公告)号：US20190282159A1

公开(公告)日：2019-09-19

申请号：US16428412

申请日：2019-05-31

Applicant: Fitbit, Inc.

Inventor： Suraj Gowda ,  Conor Joseph Heneghan ,  Shelten Gee Jao Yuen ,  Anjian Wu ,  Daniel Joel Freschl ,  Peter W. Richards ,  Chris H. Sarantos ,  Jonathan Wonwook Kim

IPC: A61B5/00 ,  A61B5/0205

Abstract: Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

公开(公告)号：US12201442B2

公开(公告)日：2025-01-21

申请号：US18467229

申请日：2023-09-14

Applicant: Fitbit, Inc.

Inventor： Hao-Wei Su ,  Logan Alexander Niehaus ,  Conor Joseph Heneghan ,  Jonathan David Charlesworth ,  Subramaniam Venkatraman ,  Shelten Gee Jao Yuen

IPC: A61B5/00 ,  A61B5/024 ,  A61B5/08 ,  A61B5/11 ,  G10L25/51

Abstract: Approaches described herein can capture an audio signal using at least one microphone while a user of an electronic device is determined to be asleep. At least one audio frame can be determined from the audio signal. The at least one audio frame represents a spectrum of frequencies detected by the at least one microphone over some period of time. One or more sounds associated with the at least one audio frame can be determined. Sleep-related information can be generated. The information identifies the one or more sounds as potential sources of sleep disruption.

公开(公告)号：US11793453B2

公开(公告)日：2023-10-24

申请号：US16890931

申请日：2020-06-02

Applicant: Fitbit, Inc.

Inventor： Hao-Wei Su ,  Logan Niehaus ,  Conor Joseph Heneghan ,  Jonathan David Charlesworth ,  Subramaniam Venkatraman ,  Shelten Gee Jao Yuen

IPC: A61B5/00 ,  A61B5/08 ,  G10L25/51 ,  A61B5/024 ,  A61B5/11

CPC classification number: A61B5/4809 ,  A61B5/02416 ,  A61B5/0816 ,  A61B5/1102 ,  A61B5/681 ,  A61B5/742 ,  G10L25/51

Abstract: Approaches described herein can capture an audio signal using at least one microphone while a user of an electronic device is determined to be asleep. At least one audio frame can be determined from the audio signal. The at least one audio frame represents a spectrum of frequencies detected by the at least one microphone over some period of time. One or more sounds associated with the at least one audio frame can be determined. Sleep-related information can be generated. The information identifies the one or more sounds as potential sources of sleep disruption.