SLEEP DETECTION USING CARDIAC AND RESPIRATION INFORMATION

    公开(公告)号:US20240423533A1

    公开(公告)日:2024-12-26

    申请号:US18752499

    申请日:2024-06-24

    Abstract: Systems and methods for monitoring and staging sleep using cardiac and respiration information are disclosed. An exemplary system comprises a storage device to store a trained hybrid sleep detection and classification model that comprise a plurality of trained machine-learning models each trained to map input cardiac and respiratory data into one of multiple distinct model-specific awake or sleep classes, and a trained regression model to combine the model-specific awake or sleep classes to a composite awake or sleep classification. A sleep detector applies patient cardiac and respiratory information to the trained hybrid sleep detection and classification model to determine a composite awake or sleep classification for the patient. The composite awake or sleep classification is used to diagnose medical conditions including sleep apnea.

    SELECTABLE HEART SOUND TRACKING IN HEART FAILURE

    公开(公告)号:US20250160665A1

    公开(公告)日:2025-05-22

    申请号:US18938967

    申请日:2024-11-06

    Abstract: Systems and methods for recognizing and tracking heart sound components are disclosed. An exemplary medical-device system includes a data receiver to receive heart sound information, and a heart sound recognition circuit to generate a representative heart sound segment such as an ensemble average of a selected portion of heart sound segments. The heart sound recognition circuit recognizes a heart sound component from the representative heart sound segment using a time-based tracking algorithm, and evaluates a performance index of the time-based heart sound tracking algorithm. Based on the performance index, a decision can be made whether or not to switch to a spectral-based tracking algorithm to recognize the heart sound component from the representative heart sound segment. A physiologic event detector can detect a cardiac event using the recognized heart sound component.

    BIOMARKER FOR PULMONARY HYPERTENSION DETECTION IN HEART FAILURE

    公开(公告)号:US20250134395A1

    公开(公告)日:2025-05-01

    申请号:US18904912

    申请日:2024-10-02

    Abstract: Systems and methods are disclosed to an ambulatory medical device. The ambulatory medical device comprising an activity sensor configured to produce an activity signal representative of activity level of a patient, a heart sound sensor configured to produce a heart sound signal, and a control circuit. The control circuit is configured to detect a change in activity level of the patient using the activity signal, enable monitoring of the heart sound signal in response to detecting the change in activity level, measure intensity of an S3 heart sound in the heart sound signal, and produce an indication of pulmonary hypertension (PH) when the measured intensity of the S3 heart sound exceeds a PH detection threshold intensity.

    CARDIAC ACCELERATION BASED P WAVE WINDOW DETERMINATION

    公开(公告)号:US20240180474A1

    公开(公告)日:2024-06-06

    申请号:US18511178

    申请日:2023-11-16

    CPC classification number: A61B5/353 A61B7/00

    Abstract: Systems and methods are disclosed to determine a P wave window for a patient using cardiac acceleration information of the patient, including a determined time of an S4 heart sound. Correlations between an S4 template and cardiac acceleration information in an S4 window having a duration longer than the S4 template can be determined. An S4 centroid can be determined as a peak of the determined multiple correlations, and the P wave window can be determined using the determined S4 centroid and an electromechanics delay.

    ENTROPY BASED HEART SOUND TRACKING
    9.
    发明公开

    公开(公告)号:US20240197284A1

    公开(公告)日:2024-06-20

    申请号:US18536659

    申请日:2023-12-12

    CPC classification number: A61B7/02 A61B5/02444 A61B5/7282

    Abstract: Systems and methods for recognizing and tracking heart sound components are disclosed. An exemplary medical-device system comprises a data receiver circuit to receive heart sound information, and a heart sound recognition circuit to generate a representative heart sound segment within a cardiac cycle, such as an ensemble average of a plurality of heart sound segments taken from multiple cardiac cycles. The heart sound recognition circuit can partition the representative heart sound segment into multiple heart sound data windows, calculate spectral entropy values respectively for each of the multiple heart sound data windows, and determine one or more heart sound components including an S2 component using the calculated spectral entropy values. A physiologic event detector can detect a cardiac event using the recognized one or more heart sound components.

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