公开(公告)号：US20230389862A1

公开(公告)日：2023-12-07

申请号：US18309386

申请日：2023-04-28

Applicant: Apple Inc.

Inventor： Mohsen MOLLAZADEH ,  Vignesh KALIDAS ,  Nader E. BAGHERZADEH

IPC: A61B5/00 ,  A61B5/113

CPC classification number: A61B5/4812 ,  A61B5/7267 ,  A61B5/725 ,  A61B5/113 ,  A61B5/7278 ,  A61B5/7221 ,  A61B5/681 ,  A61B2562/0219

Abstract: A wearable device including a motion-tracking sensor can be used for tracking sleep. The data from the motion-tracking sensor can be to estimate/classify the sleep state for multiple periods and/or to determine sleep intervals. In some examples, to improve performance, sleep state classification can be performed on data within a sleep tracking session. The start of the sleep tracking session can be defined by detecting a rest state and the end of the sleep tracking session can be defined by an activity state. In some examples, to improve performance, the classified sleep states for the multiple periods can be filtered and/or smoothed. In some examples, a signal quality check can be performed for the data from the motion-tracking sensor. In some examples, the classification of the sleep states and/or the display of the results of sleep tracking can be subject to passing one or more signal quality checks.

公开(公告)号：US20200077963A1

公开(公告)日：2020-03-12

申请号：US16556994

申请日：2019-08-30

Applicant: Apple Inc.

Inventor： Mohsen MOLLAZADEH ,  Roxanne BRITTAIN ,  Saeid WAHABI

IPC: A61B5/00 ,  A61B5/044 ,  G06F17/18

Abstract: Mobile or wearable devices can process physiological signals (e.g., ECG signals) for display on the mobile or wearable device. The device can comprise a physiological sensor and processing circuitry coupled to the physiological sensor. In some examples, the processing circuitry can determine the dynamic range of the ECG signal and determine whether the ECG signal should be scaled based on the dynamic range of the ECG signal. The processing circuitry can determine a scaling factor and apply the scaling factor to the ECG signal. The scaled ECG signal can be displayed on the display of the mobile or wearable device. In some examples, the scaling can be performed in real-time. In some examples, the scaling can be applied to ECG signals using a scaling factor determined based on the analysis and processing of an ECG signal from a previous time period.