DETERMINING AN EFFICACY OF A TREATMENT PROGRAM

    公开(公告)号:US20220000421A1

    公开(公告)日:2022-01-06

    申请号:US16918555

    申请日:2020-07-01

    Abstract: This disclosure is directed to devices, systems, and techniques for determining an efficacy of a treatment program. For example, a medical device system includes a medical device including one or more sensors configured to generate a signal that indicates a parameter of a patient. Additionally, the medical device system includes processing circuitry configured to receive data indicative of a user selection of a reference time; determine a plurality of parameter values of the parameter based on a portion of the signal corresponding to a period of time including the reference time. Additionally, the processing circuitry is configured to identify, based on a first set of parameter values, a reference parameter value, calculate a parameter change value, and determine, based on the parameter change value, whether an improvement or a worsening of the patient has occurred responsive to a treatment administered beginning at the reference time.

    Device-based detection and monitoring of sleep apnea conditions

    公开(公告)号:US10765359B2

    公开(公告)日:2020-09-08

    申请号:US15381815

    申请日:2016-12-16

    Abstract: Sensing circuitry of an implantable medical device (IMD) system may sense a cardiac signal that varies according to a cardiac cycle of a patient. Processing circuitry of the IMD system may determine a series of consecutive cardiac cycle length metric values based on the sensed cardiac signal, identify a plurality of pairs of the cardiac cycle length metrics, each of the pairs of cardiac cycle length metrics separated by an integer ‘n’ of the cardiac cycle length metrics, and construct a distribution of the pairs of cardiac cycle length metrics based on values of the cardiac cycle length metrics for each of the pairs. The processing circuitry may detect a sleep apnea episode of the patient based on one or more characteristics of the constructed distribution, and control communication circuitry of the IMD system to transmit an indication of the detected sleep apnea episode to the external computing device.

    DEVICE-BASED DETECTION AND MONITORING OF SLEEP APNEA CONDITIONS

    公开(公告)号:US20180168502A1

    公开(公告)日:2018-06-21

    申请号:US15381815

    申请日:2016-12-16

    Abstract: Sensing circuitry of an implantable medical device (IMD) system may sense a cardiac signal that varies according to a cardiac cycle of a patient. Processing circuitry of the IMD system may determine a series of consecutive cardiac cycle length metric values based on the sensed cardiac signal, identify a plurality of pairs of the cardiac cycle length metrics, each of the pairs of cardiac cycle length metrics separated by an integer ‘n’ of the cardiac cycle length metrics, and construct a distribution of the pairs of cardiac cycle length metrics based on values of the cardiac cycle length metrics for each of the pairs. The processing circuitry may detect a sleep apnea episode of the patient based on one or more characteristics of the constructed distribution, and control communication circuitry of the IMD system to transmit an indication of the detected sleep apnea episode to the external computing device.

    VENTRICULAR TACHYARRHYTHMIA CLASSIFICATION

    公开(公告)号:US20250090076A1

    公开(公告)日:2025-03-20

    申请号:US18729479

    申请日:2023-02-10

    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.

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