Near-infrared spectroscopy for sensing glycogen in muscle tissue

    公开(公告)号:US11147481B1

    公开(公告)日:2021-10-19

    申请号:US15417016

    申请日:2017-01-26

    Applicant: NIKE, Inc.

    Abstract: A system, wearable device, and method include a light emitter configured to emit light at a first wavelength of between approximately 900 and 1000 nanometers and at a second wavelength of approximately 1350 nanometers, a first light detector spaced at a first distance from the light emitter, and a second light detector spaced at a second distance from the light emitter, the second distance approximately twice the first distance. At least one of hydration and glycogen of muscle tissue is determinable based on a relationship between backscatter light from the muscle tissue as detected by the second light detector and backscatter light from non-muscle tissue as detected by the first light detector.

    Energy expenditure calculation using data from multiple devices

    公开(公告)号:US10657156B2

    公开(公告)日:2020-05-19

    申请号:US14988216

    申请日:2016-01-05

    Applicant: NIKE, Inc.

    Abstract: Aspects relate to athletic metric values from data received from different sources having different devices that employ different processes to calculate the values. Data may be received from a connected device that utilizes a first operating protocol, and be received by a device utilizing a second operating protocol. An activity metric may be identified from received data, and a determination may be made as to whether the activity metric is calculated using a best available data source. If it is determined that the received data represents a best available data source, the received data may be added to a metric database, the received data may be classified into an activity group, and an energy expenditure value may be calculated from the received data.

    Energy Expenditure Calculation Using Data From Multiple Devices

    公开(公告)号:US20160196325A1

    公开(公告)日:2016-07-07

    申请号:US14987970

    申请日:2016-01-05

    Applicant: NIKE, Inc.

    Abstract: Aspects relate to athletic metric values from data received from different sources having different devices that employ different processes to calculate the values. Data may be received from a connected device that utilizes a first operating protocol, and be received by a device utilizing a second operating protocol. An activity metric may be identified from received data, and a determination may be made as to whether the activity metric is calculated using a best available data source. If it is determined that the received data represents a best available data source, the received data may be added to a metric database, the received data may be classified into an activity group, and an energy expenditure value may be calculated from the received data.

    PROCESSING AND ANALYZING ULTRASOUND SHEAR WAVE ELASTOGRAPHY IMAGES

    公开(公告)号:US20220192637A1

    公开(公告)日:2022-06-23

    申请号:US17556519

    申请日:2021-12-20

    Applicant: NIKE, Inc.

    Abstract: Systems and methods described herein include receiving, by a processor, one or more data files from an ultrasound shear wave elastography apparatus configured to capture viscoelastic tissue properties in an area of a subject using ultrasound shear wave electrography, processing the one or more data files to compute viscoelastic tissue parameters related to the area of the subject, compiling the viscoelastic tissue parameters and one or more associated data file identifiers to generate a processed data file, wherein the one or more associated data file identifiers includes at least one of: user characteristics, exercise characteristics, a footwear type, or an apparel type, and generating a recommendation report, wherein the recommendation report includes a footwear recommendation selected based on one or more trends from the viscoelastic tissue parameters.

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