Duty Cycling Control of Neural Dose in a Spinal Cord Stimulator System

    公开(公告)号:US20230355978A1

    公开(公告)日:2023-11-09

    申请号:US18298024

    申请日:2023-04-10

    CPC classification number: A61N1/36062 A61N1/36175 A61N1/37247

    Abstract: Systems and methods for controlling an implantable stimulator device such as a spinal cord stimulation are disclosed. Optimal stimulation parameters for the patient, which may be personalized for the patient based on test stimulation and organized as a neural dose, are subject to duty cycling in which stimulation is applied during an on duration and is turned off during an off duration. The duty cycling applied is automatically determined by and dependent on the stimulation parameters chosen, and in particular the frequency of those parameters. Further, a user interface element is provided to allow a user to automatically step thought suitable duty cycle values determined to be appropriate for the stimulation parameters. As such, the user does need not need to engage in guess work to specify individual on and off times when duty cycling is desired.

    Stimulation field modelling in an implantable stimulator device

    公开(公告)号:US11794017B2

    公开(公告)日:2023-10-24

    申请号:US17659960

    申请日:2022-04-20

    Abstract: A field measurement algorithm and measuring circuitry in an implantable stimulator, and an field modelling algorithm operable in an external device, are used to determine an electric field in a patient's tissue. The field measuring algorithm provides at least one test current between two electrodes, and a plurality of voltage differentials are measured at different combinations of the electrodes. The voltage differential data is telemetered to the field modelling algorithm which determines directional resistance at different locations in the patient's tissue. The field modelling algorithm can then use a stimulation program selected for the patient and the determined directional resistances to determine voltages in the patient's tissue at various locations, which in turn can be used to model a more-accurate electric field in the tissue, and preferably to render an electric field image for display in a graphical user interface of the external device.

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