EAR IMPRESSION TRIAGE AND IDENTIFICATION OF ANATOMICAL LANDMARKS IN HUMAN EARS

    公开(公告)号:US20250142270A1

    公开(公告)日:2025-05-01

    申请号:US18921167

    申请日:2024-10-21

    Abstract: A method comprises obtaining ear modeling data representing a 3-dimensional (3D) impression of an ear surface of an ear of a patient; determining, based on the ear modeling data, values of landmarks of the ear, wherein the landmarks include ear canal landmarks of an ear canal, and determining the values of the landmarks comprises: predicting an ear aperture plane of an aperture of the ear; determining a plurality of cross-sectional planes that are aligned with the ear aperture plane; for each of the cross-sectional planes: determining an intersection boundary of the cross-sectional plane representing a line of intersection between the cross-sectional plane and the ear canal; and determining a centroid of the intersection boundary of the cross-sectional plane; and determining values of the ear canal landmarks based on the centroids.

    PREDICTING GAIN MARGIN IN A HEARING DEVICE USING A NEURAL NETWORK

    公开(公告)号:US20230388724A1

    公开(公告)日:2023-11-30

    申请号:US18204014

    申请日:2023-05-31

    CPC classification number: H04R25/507 H04R25/453 H04R25/604 H04R2430/01

    Abstract: A hearing device includes a microphone that produces an audio input signal and a loudspeaker that outputs an amplified audio signal into an ear canal. A signal processing path is coupled to the microphone and the loudspeaker. The signal processing path includes a deep neural network configured to predict an instantaneous gain margin of the hearing device based on a set of inputs. The set of inputs includes a first parameter of the audio input signal, a second parameter of the amplified audio signal, and a gain of the signal processing path. A feedback reduction module of the device receives the predicted instantaneous gain margin and adjusts feedback reduction parameters to reduce an onset of feedback in the hearing device

    EAR-WEARABLE DEVICE MODELING
    4.
    发明公开

    公开(公告)号:US20230351064A1

    公开(公告)日:2023-11-02

    申请号:US18304996

    申请日:2023-04-21

    CPC classification number: G06F30/00 A61F11/06

    Abstract: A method comprises obtaining ear modeling data, wherein the ear modeling data includes a 3D model of an ear canal; applying a shell generation to generate a shell shape based on the ear modeling data, wherein the shell-generation model is a machine learning model and the shell shape is a 3D representation of a shell of an ear-wearable device; applying a set of one or more component-placement models to determine, based on the ear modeling data, a position and orientation of a component of the ear-wearable device, wherein the component-placement models are independent of the shell-generation model and each of the component-placement models is a separate machine learning model; and generating an ear-wearable device model based on the shell shape and the 3D arrangement of the components of the ear-wearable device.

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