ECG SIGNAL RECONSTRUCTION FROM EEG SIGNAL

    公开(公告)号:US20250090075A1

    公开(公告)日:2025-03-20

    申请号:US18884061

    申请日:2024-09-12

    Applicant: Apple Inc.

    Abstract: Embodiments are disclosed for ECG signal reconstruction from an EEG signal. In some embodiments, a method comprises: determining, with at least one processor, heartbeat timestamps from a heartrate signal; obtaining an electroencephalography (EEG) signal from an EEG sensor; aligning, with the at least one processor, the EEG signal with the heartbeat timestamps; collaborative filtering, with the at least one processor, the beat-aligned EEG signal; and determining, with the at least one processor, an approximation of an electrocardiography (ECG) signal based on the filtered beat-aligned EEG signal.

    Electrodes for gesture recognition

    公开(公告)号:US12056285B2

    公开(公告)日:2024-08-06

    申请号:US17823870

    申请日:2022-08-31

    Applicant: Apple Inc.

    CPC classification number: G06F3/017 A61B5/279 A61B5/681

    Abstract: Electrodes that can be formed in a flexible band of a wrist-worn device to detect hand gestures are disclosed. Multiple rows of electrodes can be configured to detect electromyography (EMG) signals produced by activity of muscles and tendons. The band can include removable electrical connections (e.g., pogo pins) to enable the electrode signals to be routed to processing circuitry in the housing of the wrist-worn device. Measurements between signals from the active electrodes and one or more reference electrodes can be obtained to capture EMG signals at a number of locations on the band. The measurement method and mode of operation (lower power coarse detection or higher power fine detection) can determine the location and number of electrodes to be measured. These EMG signals can be processed to identify hand movements and recognize gestures associated with those hand movements.

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