SLEEP STAGING USING MACHINE LEARNING

    公开(公告)号:US20220386944A1

    公开(公告)日:2022-12-08

    申请号:US17339894

    申请日:2021-06-04

    Applicant: Apple Inc.

    Abstract: Embodiments are disclosed for sleep staging using machine learning. In an embodiment, a method comprises: receiving, with at least one processor, sensor signals from a sensor, the sensor signals including at least motion signals and respiratory signals of a user; extracting, with the at least one processor, features from the sensor signals; predicting, with a machine learning classifier, that the user is asleep or awake based on the features; and computing, with the at least one processor, a sleep or wake metric based on whether the user is predicted to be asleep or awake.

    Fluctuating progress indicator
    10.
    发明授权

    公开(公告)号:US11069255B2

    公开(公告)日:2021-07-20

    申请号:US15418541

    申请日:2017-01-27

    Applicant: Apple Inc.

    Abstract: A breathing sequence may define a suggested breathing pattern. Input may be received at a user interface of a device to initiate the breathing sequence. The breathing sequence may include a configuration phase in which configuration information may be received. The configuration information may define a variable time period for the breathing sequence. The breathing sequence also may include a preliminary phase during which a first version of a fluctuating progress indicator may be presented on the user interface. The fluctuating progress indicator may include a plurality of variable visual characteristics and may fluctuate at a first cyclic rate. The breathing sequence may also include a breathing phase during which a second version of the fluctuating progress indicator may be presented. The second version of the fluctuating progress indicator may fluctuate at a second cyclic rate according to a breathing rate.

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