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    SYSTEM AND METHOD FOR CORE-DEVICE MONITORING
    12.
    发明公开
    SYSTEM AND METHOD FOR CORE-DEVICE MONITORING 审中-公开

    公开(公告)号：US20230377737A1

    公开(公告)日：2023-11-23

    申请号：US18365748

    申请日：2023-08-04

    Applicant: Medtronic, Inc.

    Inventor： John C. Doerfler ,  Rodolphe Katra ,  Niranjan Chakravarthy

    IPC: G16H40/40

    CPC classification number: G16H40/40

    Abstract: In some examples, a computing device may receive diagnostic data of a medical device implanted in a patient. The computing device may determine a use case associated with analyzing the diagnostic data out of a plurality of use cases for analyzing the diagnostic data. The computing device may determine, based at least in part on the use case, one or more device characteristics data to be compared against the diagnostic data. The computing device may analyze, based at least in part on comparing the diagnostic data with the one or more device characteristics data, the diagnostic data to determine an operating status of the medical device.

    Personalization of artificial intelligence models for analysis of cardiac rhythms
    14.
    发明授权
    Personalization of artificial intelligence models for analysis of cardiac rhythms 有权

    公开(公告)号：US11633159B2

    公开(公告)日：2023-04-25

    申请号：US16850618

    申请日：2020-04-16

    Applicant: Medtronic, Inc.

    Inventor： Niranjan Chakravarthy ,  Siddharth Dani ,  Tarek D. Haddad ,  Rodolphe Katra ,  Donald R. Musgrove ,  Lindsay A. Pedalty ,  Andrew Radtke

    IPC: A61B5/00 ,  A61B5/35 ,  A61B5/341

    Abstract: Techniques are disclosed for monitoring a patient for the occurrence of cardiac arrhythmias. A computing system obtains a cardiac electrogram (EGM) strip for a current patient. Additionally, the computing system may apply a first cardiac rhythm classifier (CRC) with a segment of the cardiac EGM strip as input. The first CRC is trained on training cardiac EGM strips from a first population. The first CRC generates first data regarding an aspect of a cardiac rhythm of the current patient. The computing system may also apply a second CRC with the segment of the cardiac EGM strip as input. The second CRC is trained on training cardiac EGM strips from a smaller, second population. The second CRC generates second data regarding the aspect of the cardiac rhythm of the current patient. The computing system may generate output data based on the first and/or second data.

    Visualization of arrhythmia detection by machine learning
    15.
    发明授权
    Visualization of arrhythmia detection by machine learning 有权

    公开(公告)号：US11617533B2

    公开(公告)日：2023-04-04

    申请号：US17377785

    申请日：2021-07-16

    Applicant: Medtronic, Inc.

    Inventor： Lindsay A. Pedalty ,  Niranjan Chakravarthy ,  Rodolphe Katra ,  Tarek D. Haddad ,  Andrew Radtke ,  Siddharth Dani ,  Donald R. Musgrove

    IPC: A61B5/346 ,  A61B5/361 ,  A61B5/00 ,  A61B5/316 ,  A61B5/322 ,  A61B5/352 ,  A61B5/363

    Abstract: Techniques are disclosed for explaining and visualizing an output of a machine learning system that detects cardiac arrhythmia in a patient. In one example, a computing device receives cardiac electrogram data sensed by a medical device. The computing device applies a machine learning model, trained using cardiac electrogram data for a plurality of patients, to the received cardiac electrogram data to determine, based on the machine learning model, that an episode of arrhythmia has occurred in the patient and a level of confidence in the determination that the episode of arrhythmia has occurred in the patient. In response to determining that the level of confidence is greater than a predetermined threshold, the computing device displays, to a user, a portion of the cardiac electrogram data, an indication that the episode of arrhythmia has occurred, and an indication of the level of confidence that the episode of arrhythmia has occurred.

    ARRHYTHMIA DETECTION WITH FEATURE DELINEATION AND MACHINE LEARNING
    18.
    发明申请
    ARRHYTHMIA DETECTION WITH FEATURE DELINEATION AND MACHINE LEARNING 有权

    公开(公告)号：US20210338134A1

    公开(公告)日：2021-11-04

    申请号：US17373480

    申请日：2021-07-12

    Applicant: Medtronic, Inc.

    Inventor： Niranjan Chakravarthy ,  Siddharth Dani ,  Tarek D. Haddad ,  Donald R. Musgrove ,  Andrew Radtke ,  Eduardo N. Warman ,  Rodolphe Katra ,  Lindsay A. Pedalty

    IPC: A61B5/349 ,  A61B5/316 ,  G16H10/60

    Abstract: Techniques are disclosed for using both feature delineation and machine learning to detect cardiac arrhythmia. A computing device receives cardiac electrogram data of a patient sensed by a medical device. The computing device obtains, via feature-based delineation of the cardiac electrogram data, a first classification of arrhythmia in the patient. The computing device applies a machine learning model to the received cardiac electrogram data to obtain a second classification of arrhythmia in the patient. As one example, the computing device uses the first and second classifications to determine whether an episode of arrhythmia has occurred in the patient. As another example, the computing device uses the second classification to verify the first classification of arrhythmia in the patient. The computing device outputs a report indicating that the episode of arrhythmia has occurred and one or more cardiac features that coincide with the episode of arrhythmia.

    MARKER MONITORING VIA A MEDICAL DEVICE
    19.
    发明申请
    MARKER MONITORING VIA A MEDICAL DEVICE 审中-公开

    公开(公告)号：US20190069815A1

    公开(公告)日：2019-03-07

    申请号：US16122289

    申请日：2018-09-05

    Applicant: Medtronic, Inc.

    Inventor： John E. Burnes ,  James K. Carney ,  Jonathan L. Kuhn ,  Mark J. Phelps ,  Jesper Svenning Kristensen ,  Rodolphe Katra

    IPC: A61B5/1459 ,  A61B5/145 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/20 ,  A61B5/1473

    Abstract: In some examples, a medical system includes a medical device. The medical device may include a housing configured to be implanted in a target site of a patient, a light emitter configured to emit a signal configured to cause a fluorescent marker to emit a fluoresced signal into the target site, and a light detector that may be configured to detect the fluoresced signal. The medical system may include processing circuitry configured to determine a characteristic of the fluorescent marker based on the emitted signal and the fluoresced signal. The characteristic of the fluorescent marker may be indicative of a presence of a compound in the patient, and the processing circuitry may be configured to track the presence of the compound of the patient based on the characteristic of the fluorescent marker.

    EVALUATION OF POST IMPLANTATION PATIENT STATUS AND MEDICAL DEVICE PERFORMANCE
    20.
    发明公开
    EVALUATION OF POST IMPLANTATION PATIENT STATUS AND MEDICAL DEVICE PERFORMANCE 审中-公开

    公开(公告)号：US20230368910A1

    公开(公告)日：2023-11-16

    申请号：US18355260

    申请日：2023-07-19

    Applicant: Medtronic, Inc.

    Inventor： Rodolphe Katra ,  Andrew C. Frye ,  Michael Jordan

    IPC: G16H40/63 ,  G16H15/00 ,  G16H30/20

    CPC classification number: G16H40/63 ,  G16H15/00 ,  G16H30/20

    Abstract: Techniques for remote monitoring of a patient and corresponding medical device(s) are described. The remote monitoring comprises providing an interactive session configured to allow a user to navigate a plurality of subsessions, determining a first set of data items in accordance with a first subsession, the first set of data items including the image data, determining a second set of data items in accordance with a second subs ession of the interactive session, determining, based at least in part on the first set of data items and the second set of data items, an abnormality, and outputting a post-implant report of the interactive session.

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