Monitoring bladder dysfunction using a probability function

    公开(公告)号:US10765355B2

    公开(公告)日:2020-09-08

    申请号:US15964739

    申请日:2018-04-27

    Abstract: This disclosure describes methods, systems, and devices configured to determine a timing of a future bladder related event of a patient. For example, a system includes processing circuitry configured to identify a timing of a plurality of bladder related events of a patient, determine, based on the timing of the plurality of bladder related events of the patient, a probability to experience a bladder related event function for the patient, the probability to experience a bladder related event function indicating a probability that the patient will experience a bladder related event at an elapsed time after a previous bladder related event, predict, based on the probability to experience a bladder related event function, a timing of a future bladder related event, and control delivery of a therapy to the patient based on the predicted timing of the future bladder related event.

    MONITORING BLADDER DYSFUNCTION USING A PROBABILTY FUNCTION

    公开(公告)号:US20190328303A1

    公开(公告)日:2019-10-31

    申请号:US15964739

    申请日:2018-04-27

    Abstract: This disclosure describes methods, systems, and devices configured to determine a timing of a future bladder related event of a patient. For example, a system includes processing circuitry configured to identify a timing of a plurality of bladder related events of a patient, determine, based on the timing of the plurality of bladder related events of the patient, a probability to experience a bladder related event function for the patient, the probability to experience a bladder related event function indicating a probability that the patient will experience a bladder related event at an elapsed time after a previous bladder related event, predict, based on the probability to experience a bladder related event function, a timing of a future bladder related event, and control delivery of a therapy to the patient based on the predicted timing of the future bladder related event.

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