Fitbit, Inc.

Chris Hanrahan Sarantos

Peter W Richards

Conor Joseph Heneghan

Lindsey Michelle Sunden

Daniel Joel Freschl

Shelten Gee Jao Yuen

Jaclyn Leverett Wasson

Anjian Wu

Peter Colin Dess

Kevin Pu Weekly

Andrew Larsen Axley

Anthony Alexander Cacace

Kyle P Nadeau

Hamed Vavadi

Ritika Sahai

Subramaniam Venkatraman

Paul Francis Stetson

Logan Niehaus

Atiyeh Ghoreyshi

Belen Lafon

Zachary Todd Beattie

Javier L Prieto

Xi Zhang

Aniket Sanjay Deshpande

Suraj Gowda

Jonathan Wonwook Kim

Corey Stephen O'Connor

Allison Shih Wu

Amir Bahador Farjadian

Lin Yang

Jeffrey Andrew Fisher

Nicholas Myers

Thomas Samuel Elliot

Jaydip Das

Lukas Bielskis

Man-Chi Liu

Jose Roberto Melgoza

Priya Vijay Sheth

Benjamin B Perkins

Juan Ignacio Correa Ramírez

Samuel Barry Tellman

Danel Joel Freschl

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.

Ring for optically measuring biometric data

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

Systems, devices, and methods for tracking one or more physiological metrics (e.g., heart rate, blood oxygen saturation, and the like) of a user are described. For example, one or more light sources and one or more light detectors may be positioned on a wearable device such that light can be emitted towards the user's skin and further such that light reflected back to the wearable device can be measured and used to generate values for the one or more physiological metrics.

Multiple source-detector pair photoplethysmography (PPG) sensor

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.

Automated detection of breathing disturbances

Sleep tracking systems and techniques for monitoring two or more co-sleepers in a single bed are disclosed. Such systems and techniques may incorporate sleeper identification, as well as various non-user-specific aspects. Some implementations may incorporate user-specific or user-tailored alarm functionality.

Sleep monitoring system with optional alarm functionality

In one embodiment, a data processing method comprises obtaining one or more first photoplethysmography (PPG) signals based on one or more first light sources that are configured to emit light having a first light wavelength corresponding to a green light wavelength; obtaining one or more second PPG signals based on one or more second light sources that are configured to emit light having a second light wavelength corresponding to a red light wavelength, one or more of the first light sources and one or more of the second light sources being co-located; generating an estimated heart rate value based on one or more of the first PPG signals and the second PPG signals; and causing the estimated heart rate value to be displayed via a user interface on a client device.

Multi-channel photoplethysmography sensor

In one embodiment, a method for creating a blood oxygen saturation (SpO) value, the method comprises receiving one or more photoplethysmography (PPG) signals for SpOdetection from one or more PPG sensors; receiving one or more PPG signals for characterizing a heart rate from the one or more PPG sensors; using the one or more PPG signals for SpOdetection, forming one or more SpOdatasets wherein the SpOdatasets respectively comprise one or more noise components; removing the one or more noise components from the one or more SpOdatasets that are inconsistent with a feature of the one or more PPG signals characterizing the heart rate to produce one or more filtered SpOdatasets; and using the one or more filtered SpOdatasets, creating and storing the SpO.

Multi-wavelength pulse oximetry

Structures and techniques are provided for shaping or steering a light field for an optical biological parameter sensor such that the light is partially or wholly collimated and enters a person's skin at an oblique angle to the person's skin such that the light has a direction component oriented towards or away from a photodetector of the optical biological parameter sensor.

Light field management in an optical biological parameter sensor

Systems and devices of the present disclosure provide automated detection and tracking of carbon monoxide inhalation through non-invasive optical spectroscopy. A wearable device includes a light source coupled to the base and directing light towards a subject and a photodetector coupled to the base to receive light emitted by the light source through or reflected the subject. The light source emits light at a wavelength spectrum corresponding to a carboxyhemoglobin absorption spectrum and an oxyhemoglobin absorption spectrum. Biometric circuitry is coupled to the photodetector to receive a signal from the photodetector and process the signal to determine an intensity of the wavelengths present in the light received at the photodetector. The intensity of the wavelengths is indicative of a level of carbon monoxide inhalation associated with the subject.

Wearable non-invasive carbon monoxide inhalation tracking

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San Francisco, CA, United States of America

Chris Hanrahan Sarantos