Multi-parameter prediction of acute cardiac episodes and attacks

    公开(公告)号:US10463295B2

    公开(公告)日:2019-11-05

    申请号:US15620346

    申请日:2017-06-12

    申请人: Medtronic, Inc.

    发明人: Xiaohong Zhou

    摘要: In some examples, processing circuitry of a medical device system determines, for each of a plurality of patient parameters, a difference metric for a current period based on a value of a patient parameter determined for the current period and a value of the patient parameter determined for an immediately preceding period, and determines a score for the current period based on a sum of the difference metrics for at least some of the plurality of patient parameters. The processing circuitry determines a threshold for the current period based on scores determined for N periods that precede the current period, compares the score for the current period to the threshold, and determines whether to generate an alert indicating that an acute cardiac event of the patient, e.g., ventricular tachyarrhythmia, is predicted, and/or deliver a therapy configured to prevent the acute cardiac event, based on the comparison.

    LEADLESS PACING DEVICE FOR HIS BUNDLE AND BUNDLE BRANCH PACING

    公开(公告)号:US20190111265A1

    公开(公告)日:2019-04-18

    申请号:US16162998

    申请日:2018-10-17

    申请人: Medtronic, Inc.

    发明人: Xiaohong Zhou

    IPC分类号: A61N1/368 A61N1/375 A61N1/39

    摘要: The present disclosure relates generally to pacing of cardiac tissue, and more particularly to adjusting delivery of His bundle or bundle branch pacing in a cardiac pacing system to achieve synchronized ventricular activation. A leadless pacing device (LPD) may include a plurality of electrodes comprising a bundle pacing electrode leadlessly connected to the housing, which may be implanted proximate to or in the His bundle or bundle branch of the patient's heart. An electrical pulse generator may generate and deliver electrical His-bundle or bundle-branch stimulation pulses using the bundle pacing electrode based on sensing one or both of an atrial event and a ventricular event. The LPD may receive communication from another implantable device, such as a subcutaneously implanted device, and deliver His-bundle or bundle-branch pacing in response to the communication.

    TWO STAGE RISK ASSESSMENT FOR PREDICTING IMMINENT ACUTE CARDIAC EPISODES

    公开(公告)号:US20230068131A1

    公开(公告)日:2023-03-02

    申请号:US17813393

    申请日:2022-07-19

    申请人: Medtronic, Inc.

    发明人: Xiaohong Zhou

    IPC分类号: A61N1/365 A61N1/362

    摘要: A medical device system determines first values associated with a first plurality of patient parameters associated with arrhythmic substrate and/or physiological triggers for acute cardiac events based on a first one or more of the physiological signals generated during the period and determines, based on the first values associated with the first plurality of patient parameters, whether to assess alterations in cardiac cellular electrophysiology and/or mechanical alterations of the patient. The system may, in response to determining to assess the alterations in cardiac cellular electrophysiology, determine second values associated with a second plurality of patient parameters relating to cardiac electrophysiology based on a second one or more of the physiological signals generated during the period and determine whether to generate an alert indicating that an acute cardiac event of the patient is predicted based at least in part on the second values associated with the second plurality of patient parameters.

    IMPLANTABLE MEDICAL DEVICE WITH PACING CAPTURE CLASSIFICATION

    公开(公告)号:US20220062645A1

    公开(公告)日:2022-03-03

    申请号:US17401185

    申请日:2021-08-12

    申请人: Medtronic, Inc.

    IPC分类号: A61N1/37

    摘要: This disclosure is directed to devices and techniques for classifying of pacing captures to evaluate effectiveness of pacing by a pacing device, such as an implantable medical device (IMD). An example system includes stimulation circuitry to generate a pacing stimulus, sensing circuitry to sense an evoked response after the pacing stimulus, and processing circuitry. The processing circuitry determines classification features from the evoked response and applies the classification features to a classification model, the classification model generated by a machine learning algorithm using one or more test sets comprising a plurality of sample evoked responses for each of a plurality of classifications. Based on the output of the model, the processing circuitry classifies the evoke response as one of the plurality of classifications.