DEVICE-INVARIANT, FREQUENCY-DOMAIN SIGNAL PROCESSING WITH MACHINE LEARNING

    公开(公告)号:US20220269958A1

    公开(公告)日:2022-08-25

    申请号:US17245951

    申请日:2021-04-30

    Abstract: Device-invariant, frequency-domain signal processing with machine learning includes retrieving with a host device a device-specific alien dataset corresponding to an alien device. The device-specific alien dataset is retrieved from a remote data storage device communicatively coupled with the host device. A plurality of frequency-domain features are extracted from the device-specific alien dataset and a machine learning model is trained using the plurality of frequency-domain features. The host device extracts frequency-domain features from signals generated by sensors operatively coupled with the host device. Real-time frequency bin adaptation of the frequency-domain features extracted by the host device is performed. Based on the frequency-domain features extracted by the host device, as adapted, an inference is performed using the machine learning model.

    Determining Oxygen Levels From Images of Skin

    公开(公告)号:US20240016424A1

    公开(公告)日:2024-01-18

    申请号:US18213461

    申请日:2023-06-23

    CPC classification number: A61B5/14552

    Abstract: In one embodiment, a method includes accessing a sequence of images of a portion of a person's skin illuminated by ambient light and determining, from at least one of the images, a plurality of microregions in the portion of the person's skin. The method further includes determining, based on a similarity between particular microregions of the plurality of microregions, one or more regions of interest of the person's skin; determining, for each of the regions of interest, a remote photoplethysmogram (rPPG) signal based on the sequence of images; and determining, based on one or more of the rPPG signals, an estimate of an oxygen saturation in the person's blood.

    EARLY DETECTION OF INFECTIOUS RESPIRATORY DISEASES

    公开(公告)号:US20220122740A1

    公开(公告)日:2022-04-21

    申请号:US17071763

    申请日:2020-10-15

    Abstract: Early detection of infectious respiratory diseases includes monitoring, during a predetermined time interval, electronic communications generated by network-connected portable devices, each portable device used by one of a plurality of users. The electronic communications are processed by extracting from each electronic communication biomarkers obtained by processing signals captured by the portable devices, the signals generated in response to sensor-detected respiratory activity of the portable device users. Clusters of users are generated based on the biomarkers and are conditioned based on pre-condition data extracted from the electronic communications, the pre-condition data corresponding to users determined to have pre-existing health conditions. Based on context data extracted from the electronic communications, user co-locations and pre-symptomatic biomarker variation co-occurrences are determined for users who exhibit pre-symptomatic biomarker variations associated with an infectious respiratory disease. An outbreak of the infectious respiratory disease is predicted along with the likelihood of infection for individuals based on the user co-locations and pre-symptomatic biomarker variation co-occurrences.

Patent Agency Ranking