Apple Inc.

Sankalita Saha

Stephen J Waydo

Daniel J Culbert

Robert T Aloe

Paul David Mannheimer

Nicholas D Felton

Allison W Dryer

Matthew Wagner Crowley

Eamon Francis Gilravi

Albert E Cerussi

Aditya Dua

Dashiell Bodington

Mai Tuyet Le

Xiao Jin

A characteristic (e.g., SpO2) of a user's physiological signals can be estimated using a pulse oximeter. In some examples, inconsistent measurement of the physiological characteristic may occur despite the underlying physiological signals having quality characteristics consistent with physiologically valid signals showing a consistent cardiac signal indicative of accurate measurement of the physiological characteristic. In particular, the measurement inconsistency may be associated with a spatially localized region. Such measurement inconsistency may result in an incorrect, low estimate of the physiological characteristic relative to the true characteristic (e.g., the SpO2 estimate may skew lower than the true SpO2). An algorithm may be used to detect spatially localized measurement inconsistency and to mitigate or reduce its effect to improve the accuracy of the estimate of the physiological characteristic.

System and method for robust pulse oximetry using image reconstruction

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

User interfaces for health applications

Algorithms for detecting whether a device is properly secured to a user's skin are described. The operation of a device, such as a wearable device, can be adjusted based on whether the device is properly secured to a user's skin (e.g., on-wrist) or not properly secured to the user's skin (e.g., off-wrist). For example, certain functions can be disabled for power-saving, security or other purposes if the device is off-wrist. In order to avoid falsely identifying the device as off-wrist or on-wrist, algorithms for detecting whether the device is on-wrist or off-wrist can calculate one or more variances based on signals measured by a light sensor and compare the one or more variances with one or more thresholds. Comparing the one or more variances to the one or more threshold can improve the accuracy of wrist-detection algorithms.

Wrist-detection algorithm

Growing community of inventors

Redwood City, CA, United States of America

Sankalita Saha