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    CARDIAC SIGNAL QT INTERVAL DETECTION
    22.
    发明公开
    CARDIAC SIGNAL QT INTERVAL DETECTION 审中-公开

    公开(公告)号：US20230181083A1

    公开(公告)日：2023-06-15

    申请号：US18164759

    申请日：2023-02-06

    Applicant: Medtronic, Inc.

    Inventor： Gautham Rajagopal ,  Shantanu Sarkar

    IPC: A61B5/352 ,  A61B5/36 ,  A61B5/355 ,  A61B5/00

    CPC classification number: A61B5/352 ,  A61B5/36 ,  A61B5/355 ,  A61B5/7203 ,  A61B2560/02

    Abstract: An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

    FILTER-BASED ARRHYTHMIA DETECTION
    23.
    发明申请
    FILTER-BASED ARRHYTHMIA DETECTION 有权

    公开(公告)号：US20230034970A1

    公开(公告)日：2023-02-02

    申请号：US17387728

    申请日：2021-07-28

    Applicant: Medtronic, Inc.

    Inventor： Ya-Jian Cheng ,  Eduardo N. Warman ,  Jeffrey M. Gillberg ,  Abhijit Kadrolkar ,  Shantanu Sarkar ,  Kevin T. Ousdigian

    IPC: A61B5/0245 ,  A61B5/00

    Abstract: This disclosure is directed to a medical system and technique for a filter-based approach to arrhythmia detection. In one example, the medical system comprises one or more sensors configured to sense physiological parameter(s); sensing circuitry configured to generate patient data based on the sensed physiological parameter(s), the patient data comprising signal data to represent cardiac activity of the patient; and processing circuitry configured to: detect a cardiac arrhythmia for the patient based on a classification of the signal data in accordance with a machine learning model, wherein the machine learning model comprises filter(s) for at least one portion of the signal data, wherein the at least one filter corresponds to a feature set that maps to the cardiac activity represented by the portion(s) of the signal data; and generate for display output data indicative of a positive detection of the cardiac arrhythmia.

    SENSING FOR HEART FAILURE MANAGEMENT
    25.
    发明申请
    SENSING FOR HEART FAILURE MANAGEMENT 有权

    公开(公告)号：US20220323007A1

    公开(公告)日：2022-10-13

    申请号：US17808924

    申请日：2022-06-24

    Applicant: Medtronic, Inc.

    Inventor： Jonathan L. Kuhn ,  James K. Carney ,  Vinod Sharma ,  Shantanu Sarkar ,  Todd M. Zielinski ,  Tommy D. Bennett

    IPC: A61B5/00 ,  A61B5/0205 ,  A61B5/07 ,  A61B5/1455 ,  A61B5/1459 ,  A61B5/287

    Abstract: In some examples, determining a heart failure status includes using an implantable medical device configured for subcutaneous implantation and comprising a plurality of electrodes and an optical sensor. Processing circuitry of a system comprising the device may determine, for a patient, a current tissue oxygen saturation value based on a signal received from the at least one optical sensor, a current tissue impedance value based on a subcutaneous tissue impedance signal received from the electrodes, and a current pulse transit time value based on a cardiac electrogram signal received from the electrodes and at least one of the signal received from the optical sensor and the subcutaneous tissue impedance signal. The processing circuitry may further compare the current tissue oxygen saturation value, current tissue impedance value, and current pulse transit time value to corresponding baseline values, and determine the heart failure status of the patient based on the comparison.

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