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    Reducing inappropriate delivery of therapy for suspected non-lethal arrhythmias
    11.
    发明授权
    Reducing inappropriate delivery of therapy for suspected non-lethal arrhythmias 有权
    减少怀疑非致命性心律失常的不适当的治疗方法

    公开(公告)号：US09031649B2

    公开(公告)日：2015-05-12

    申请号：US14088685

    申请日：2013-11-25

    Applicant: Medtronic, Inc.

    Inventor： Kevin T. Ousdigian

    IPC: A61N1/362 ,  A61N1/372 ,  A61B5/0464 ,  A61N1/39 ,  A61B5/00

    CPC classification number: A61N1/37252 ,  A61B5/0464 ,  A61B5/7264 ,  A61N1/3621 ,  A61N1/3956 ,  A61N1/3987

    Abstract: An implantable medical device (IMD) identifies suspected non-lethal ventricular arrhythmia, and takes one or more actions in response to the identification to avoid or delay delivery of a defibrillation or cardioversion shock. The IMD employs number of intervals to detect (NID) thresholds for detection of ventricular arrhythmias. When a NID threshold is met, the IMD determines whether the ventricular rhythm is a suspected non-lethal rhythm despite satisfying a NID threshold. In some embodiments, the IMD increases the NID threshold, i.e., extends the time for detection, in response to identifying a rhythm as a suspected non-lethal rhythm, and monitors subsequent ventricular beats to determine if the increased NID threshold is met before detecting a ventricular arrhythmia and delivering therapy. The IMD can determine whether a rhythm is a suspected non-lethal arrhythmia by, for example, comparing the median ventricular cycle length (VCL) to the median atrial cycle length (ACL).

    Abstract translation: 植入式医疗器械（IMD）识别疑似非致死性室性心律失常，并采取一项或多项行动来回应识别，以避免或延迟除颤或复律性休克的传播。 IMD采用间隔数来检测（NID）阈值以检测室性心律失常。 当满足NID阈值时，即使满足NID阈值，IMD确定心室节律是否是怀疑的非致命节律。 在一些实施例中，响应于将节律识别为怀疑非致命节律，IMD增加NID阈值，即扩展检测时间，并且监测随后的心室搏动以确定在检测到之前是否满足增加的NID阈值 室性心律失常和输送治疗。 IMD可以通过例如比较心室中心周期长度（VCL）与中位心房周期长度（ACL）来确定节律是否是怀疑是非致死性心律失常。

    VENTRICULAR TACHYARRHYTHMIA CLASSIFICATION
    12.
    发明申请
    VENTRICULAR TACHYARRHYTHMIA CLASSIFICATION 有权

    公开(公告)号：US20250090076A1

    公开(公告)日：2025-03-20

    申请号：US18729479

    申请日：2023-02-10

    Applicant: Medtronic, Inc.

    Inventor： Shantanu Sarkar ,  Jeffrey M. Gillberg ,  Abhijit Kadrolkar ,  Sean R. Landman ,  Kevin T. Ousdigian ,  Robert W. Stadler

    IPC: A61B5/363 ,  A61B5/00 ,  A61B5/287 ,  G16H50/20

    Abstract: A method comprises applying, by processing circuitry of a system comprising a medical device, an ensemble of classifiers to episode data for a ventricular tachyarrhythmia episode detected by the medical device based on electrocardiogram sensed by the medical device. The method further comprises classifying, by the processing circuitry, the ventricular tachyarrhythmia episode as one of a plurality of classifications based on the application of the ensemble of classifiers to the episode data, wherein the plurality of classifications include two or more of noise, oversensing, supraventricular tachycardia, polymorphic ventricular tachycardia, monomorphic ventricular tachycardia, and ventricular fibrillation.

    FILTER-BASED ARRHYTHMIA DETECTION
    15.
    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.

    NETWORKED SYSTEM CONFIGURED TO IMPROVE ACCURACY OF HEALTH EVENT DIAGNOSIS
    17.
    发明申请
    NETWORKED SYSTEM CONFIGURED TO IMPROVE ACCURACY OF HEALTH EVENT DIAGNOSIS 有权

    公开(公告)号：US20250140405A1

    公开(公告)日：2025-05-01

    申请号：US18693823

    申请日：2022-11-03

    Applicant: Medtronic, Inc.

    Inventor： Kevin T. Ousdigian ,  Joel R. Lauer ,  Amruta Paritosh Dixit ,  Shantanu Sarkar

    IPC: G16H50/20 ,  G16H10/60 ,  G16H40/67

    Abstract: This disclosure is directed to systems and techniques configured to apply at least one criterion to health event data stored in a record for a patient for determining whether to remove at least a portion of the health event data from the record or retain that portion as an accurate reflection of patient health for that point-in-time. The health event data includes adjudicated health events and non-adjudicated health events over a first time period. Based on a determination that the health event data satisfies the at least one criterion, the example technique may direct the example system to remove the health event data corresponding to the adjudicated health events and the non-adjudicated health events from the record and then, adjust longitudinal diagnostic information of a second time period that includes the first time period.

    REMOTE MONITORING AND SUPPORT OF MEDICAL DEVICES
    20.
    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.

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