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    PREMATURE VENTRICULAR CONTRACTION (PVC) DETECTION USING AN ARTIFICIAL INTELLIGENCE MODEL
    91.
    发明公开
    PREMATURE VENTRICULAR CONTRACTION (PVC) DETECTION USING AN ARTIFICIAL INTELLIGENCE MODEL 审中-公开

    公开(公告)号：US20240138743A1

    公开(公告)日：2024-05-02

    申请号：US18050814

    申请日：2022-10-28

    Applicant: Medtronic, Inc.

    Inventor： Gautham Rajagopal ,  Shantanu Sarkar

    IPC: A61B5/349 ,  A61B5/29 ,  A61B5/352 ,  G16H50/20

    CPC classification number: A61B5/349 ,  A61B5/29 ,  A61B5/352 ,  G16H50/20

    Abstract: An example medical system includes a plurality of electrodes configured to sense a cardiac electrogram of a patient; and processing circuitry configured to: perform feature extraction of the sensed cardiac electrogram to extract a plurality of features from the sensed cardiac electrogram; convert one or more of the plurality of extracted features to a respective feature image; apply a machine learning model, trained using cardiac electrogram data for a plurality of patients, to an image of the sensed cardiac electrogram and at least the respective feature image to determine whether one or more particular heartbeats in the sensed cardiac electrogram indicate a premature ventricular contraction (PVC) beat; and in response to the determination that the one or more particular heartbeats indicates a PVC beat, output a classification that the one or more particular heartbeats is a PVC beat.

    REMOTE MONITORING AND SUPPORT OF MEDICAL DEVICES
    95.
    发明申请
    REMOTE MONITORING AND SUPPORT OF MEDICAL DEVICES 有权

    公开(公告)号：US20230046704A1

    公开(公告)日：2023-02-16

    申请号：US17402281

    申请日：2021-08-13

    Applicant: Medtronic, Inc.

    Inventor： Matthew R. Yoder ,  Amruta Paritosh Dixit ,  Gaurav Makin ,  Joel R. Lauer ,  Eduardo N. Warman ,  Shantanu Sarkar ,  Kevin T. Ousdigian ,  Ya-Jian Cheng

    IPC: A61B5/00

    Abstract: This disclosure is directed to systems and techniques for detecting change in patient health and if a change in patient health is detected, direct a medical device to generate for display output indicating the detection of the change in patient health. An example medical system or technique applies a model to values of configurable settings that are programmed into detection logic of a medical device; based on the application, determine whether modified values of the configurable settings, when implemented by the detection logic, would change a determination, by the medical device, regarding whether sensed physiological activity is indicative of cardiac episode for a patient; and in response to a determination that the modified values would change the determination regarding whether the sensed physiological activity is indicative of the cardiac episode for the patient, generate output data indicative of the modified values for the configurable settings for the medical device.

    CARDIAC EPISODE CLASSIFICATION
    96.
    发明申请
    CARDIAC EPISODE CLASSIFICATION 有权

    公开(公告)号：US20220384014A1

    公开(公告)日：2022-12-01

    申请号：US17329913

    申请日：2021-05-25

    Applicant: Medtronic, Inc.

    Inventor： Shantanu Sarkar ,  Eduardo N. Warman ,  Ya-Jian Cheng

    IPC: G16H30/40 ,  G16H30/20 ,  G16H50/20 ,  G16H40/67 ,  A61B5/352

    Abstract: A medical system includes communication circuitry configured to receive episode data for an episode sensed by a medical device of a patient, wherein the episode data comprises a cardiac electrogram sensed by the medical device during a period of time; and processing circuitry configured to generate an image based on the episode data, wherein the image is associated with an interval within the period of time; apply, by the processing circuitry, one or more machine learning models to the image, the one or more machine learning models configured to determine whether the image corresponds to an arrythmia type; and output an indication of whether the image corresponds to the arrythmia type.

    MEDICAL DEVICE SYSTEM FOR MONITORING PATIENT HEALTH
    98.
    发明申请
    MEDICAL DEVICE SYSTEM FOR MONITORING PATIENT HEALTH 有权

    公开(公告)号：US20220211332A1

    公开(公告)日：2022-07-07

    申请号：US17647314

    申请日：2022-01-06

    Applicant: Medtronic, Inc.

    Inventor： Wade M. Demmer ,  Vinod Sharma ,  Shantanu Sarkar ,  James R Peichel

    IPC: A61B5/00 ,  A61B5/11 ,  A61B7/00 ,  A61B5/361 ,  A61B5/0538 ,  A61B5/0205 ,  A61B5/024 ,  G16H40/67 ,  G16H10/20 ,  G16H50/30

    Abstract: A method of monitoring a patient using a system includes a medical device, a peripheral device configured to wirelessly communicate with the medical device, and processing circuitry. The method includes, by the processing circuitry, receiving sensor data collected by the medical device and evaluating the sensor data. The method further includes, based on the evaluation of the sensor data, outputting for display via the peripheral device at least one question relating to the sensor data collected by the medical device for a patient to answer. The method further includes receiving at least one answer via the peripheral device and determining, based on a combination of the sensor data and the at least one answer, a risk-level of the patient's health associated with at least one condition such as at least one of infection, stroke, sepsis, chronic obstructive pulmonary disease, cardiac arrhythmia, or myocardial infarction.

    DETECTION OF INFECTION IN A PATIENT
    99.
    发明申请
    DETECTION OF INFECTION IN A PATIENT 有权

    公开(公告)号：US20220211331A1

    公开(公告)日：2022-07-07

    申请号：US17645433

    申请日：2021-12-21

    Applicant: Medtronic, Inc.

    Inventor： Holly S. Norman ,  Douglas A. Hettrick ,  Mark J. Phelps ,  Shantanu Sarkar ,  Todd M. Zielinski

    IPC: A61B5/00 ,  A61B5/053 ,  A61B5/01 ,  A61B5/11 ,  A61B5/08 ,  A61B5/024 ,  A61B5/021 ,  A61B5/145 ,  G16H50/30

    Abstract: This disclosure is directed to techniques for identifying a medical condition, such as an infection and/or a disease, from sensor data indicative of physiological parameters. In some examples, one example technique for identifying the medical condition includes process sensor data comprising data indicative of a plurality of physiological parameters for a patient comprising an impedance parameter, computing an index based upon values corresponding to at least two of the physiological parameters and based upon a comparison between the index and prediction criterion, generating, for display, output data corresponding to the comparison results, wherein the output data indicates a prediction of the medical condition in the patient if the comparison results indicate satisfaction of the prediction criterion.

    USING MULTIPLE DIAGNOSTIC PARAMETERS FOR PREDICTING HEART FAILURE EVENTS
    100.
    发明申请
    USING MULTIPLE DIAGNOSTIC PARAMETERS FOR PREDICTING HEART FAILURE EVENTS 有权

    公开(公告)号：US20210369167A1

    公开(公告)日：2021-12-02

    申请号：US17401054

    申请日：2021-08-12

    Applicant: Medtronic, Inc.

    Inventor： Shantanu Sarkar ,  Douglas A. Hettrick ,  Robert W. Stadler

    IPC: A61B5/287 ,  A61B5/0537 ,  A61B5/0538 ,  A61B5/11 ,  A61N1/365 ,  A61B5/361 ,  A61B5/363 ,  A61M37/00 ,  A61B5/0205 ,  A61B5/021 ,  A61B5/08 ,  A61M5/172

    Abstract: Techniques for using multiple physiological parameters to provide an early warning for worsening heart failure are described. A medical device monitors a primary diagnostic parameter that is indicative of worsening heart failure, such as intrathoracic impedance or pressure, and one or more secondary diagnostic parameters. The medical device detects worsening heart failure in the patient based on the primary diagnostic parameter when an index that is changed over time based on the primary diagnostic parameter value is outside a range of values, termed the threshold zone. When the index is within the threshold zone, the medical device detects worsening heart failure in the patient based on the one or more secondary diagnostic parameters. Upon detecting worsening heart failure, the medical device may, for example, provide an alert that enables the patient to seek medical attention before experiencing a heart failure event.

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