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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.
Inventor： Alexander M. Chan , Nader E. Bagherzadeh , Matt T. Bianchi
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.
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公开(公告)号：US11504013B1
公开(公告)日：2022-11-22
申请号：US16439586
申请日：2019-06-12
Applicant: Apple Inc.
Inventor： Derek Young , Alexander M. Chan , German A. Alvarez , Joseph R. Lee , Manda Paul , Santiago M. Quijano
Abstract: A monitoring system configured to measure the user's health-related parameters while in a certain state is disclosed. Based on whether the user is in the certain state and/or one or more criteria being met, the monitoring system can perform a physiological measurement such as a blood pressure measurement. The monitoring system can be capable of dynamically adjusting the measurement parameters, criteria, and acquired information based one or more scalers. The criteria can be based on user states or conditions such that user disruptions can be reduced and the measurement accuracy and/or efficiency can be enhanced. The monitoring system can also measure the user's parameters during the measurement and may abort the measurement if the measurement may not have accurate information and/or to reduce any disruption to the user. Alternatively, the measurement can be annotated so that the measurement can be used during data interpretation with certain qualifiers attached.
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