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    THERAPY PROGRAM SELECTION FOR ELECTRICAL STIMULATION THERAPY BASED ON A VOLUME OF TISSUE ACTIVATION
    31.
    发明申请
    THERAPY PROGRAM SELECTION FOR ELECTRICAL STIMULATION THERAPY BASED ON A VOLUME OF TISSUE ACTIVATION 审中-公开
    基于组织活动量的电刺激治疗的治疗方案选择

    公开(公告)号：US20160067495A1

    公开(公告)日：2016-03-10

    申请号：US14481379

    申请日：2014-09-09

    Applicant: Medtronic, Inc.

    Inventor： Ashutosh Chaturvedi ,  Siddharth Dani ,  Timothy J. Denison ,  William F. Kaemmerer ,  Shahram Malekkhosravi ,  Eric J. Panken ,  Brandon Zingsheim

    IPC: A61N1/36 ,  G06F19/00

    Abstract: In some examples, a processor of a system evaluates a therapy program based on a score determined based on a volume of tissue expected to be activated (“VTA”) by therapy delivery according to the therapy program. The score may be determined using an efficacy map comprising a plurality of voxels that are each assigned a value. In some examples, the efficacy map is selected from a plurality of stored efficacy maps based on a patient condition, one or more patient symptoms, or both the patient condition and one or more patient symptoms. In addition, in some examples, voxels of the efficacy map are assigned respective values that are associated with a clinical rating scale.

    Abstract translation: 在一些示例中，系统的处理器基于通过根据治疗程序的治疗递送基于预期被激活的组织体积（“VTA”）确定的评分来评估治疗程序。 可以使用包括多个体素的功效图来确定分数，每个体素分配一个值。 在一些示例中，基于患者状况，一个或多个患者症状或患者状况和一个或多个患者症状，从多个存储的效能图中选择功效图。 此外，在一些示例中，功效图的体素被分配与临床评级量表相关联的各自的值。

    THERAPEUTIC ELECTRODE LOCATION PREDICTION VISUALIZATION USING MACHINE LEARNING
    37.
    发明公开
    THERAPEUTIC ELECTRODE LOCATION PREDICTION VISUALIZATION USING MACHINE LEARNING 审中-公开

    公开(公告)号：US20230263444A1

    公开(公告)日：2023-08-24

    申请号：US18101885

    申请日：2023-01-26

    Applicant: Medtronic, Inc.

    Inventor： Michelle A. Case ,  Eric J. Panken ,  Rene A. Molina ,  Paula A.E. Dassbach Green ,  Abbey Beuning Holt Becker

    IPC: A61B5/24 ,  A61B5/00

    CPC classification number: A61B5/24 ,  A61B5/7267 ,  G06N3/08

    Abstract: Systems and methods for programming an implantable medical device comprising a simulated environment with at least one lead having a plurality of electrodes, computing hardware of at least one processor and a memory operably coupled to the at least one processor, and instructions that, when executed on the computing hardware, cause the computing hardware to implement a training sub-system configured to conduct a brain sense survey using the simulated environment, develop at least one machine learning model based on the brain sense survey, apply the at least one machine learning model to in-vivo patient data to determine at least one predicted electrode from the plurality of electrodes relative to an oscillatory source, visualize the at least one predicted electrode, and program a medical device based on the at least one predicted electrode.

    MEDICAL DEVICE USING SPECTRAL ACTIVITY PROCESSING
    38.
    发明申请
    MEDICAL DEVICE USING SPECTRAL ACTIVITY PROCESSING 有权

    公开(公告)号：US20220265209A1

    公开(公告)日：2022-08-25

    申请号：US17183398

    申请日：2021-02-24

    Applicant: Medtronic, Inc.

    Inventor： Eric J. Panken ,  Mandla Shongwe

    IPC: A61B5/00 ,  A61B5/11

    Abstract: A system for providing stimulation to a patient includes one or more processors implemented in circuitry and one or more accelerometers configured to generate one or more accelerometer signals. The one or more processors are configured to determine accelerometer information for a medical device associated with the patient based on the one or more accelerometer signals and convert the accelerometer information into frequency domain coefficients. The one or more processors are further configured to determine an activity level for the patient based on the frequency domain coefficients and determine one or more stimulation parameters based on the activity level. The one or more processors are further configured to output electrical stimulation to the patient based on the one or more stimulation parameters.

    Stimulation induced neural response for detection of lead movement
    39.
    发明授权
    Stimulation induced neural response for detection of lead movement 有权

    公开(公告)号：US11376434B2

    公开(公告)日：2022-07-05

    申请号：US16945639

    申请日：2020-07-31

    Applicant: Medtronic, Inc.

    Inventor： Rene A. Molina ,  Scott R. Stanslaski ,  Jadin C. Jackson ,  Christopher L. Pulliam ,  Eric J. Panken ,  Michelle A. Case ,  Abbey Beuning Holt Becker

    IPC: A61N1/36 ,  A61N1/375

    Abstract: Devices, systems, and techniques are configured for identifying stimulation parameter values based on electrical stimulation that induces dyskinesia for the patient. For example, a method may include controlling, by processing circuitry, a medical device to deliver electrical stimulation to a portion of a brain of a patient, receiving, by the processing circuitry, information representative of an electrical signal sensed from the brain after delivery of the electrical stimulation, determining, by the processing circuitry and from the information representative of the electrical signal, a peak in a spectral power of the electrical signal at a second frequency lower than a first frequency of the electrical stimulation, and responsive to determining the peak in the spectral power of the electrical signal at the second frequency, performing, by the processing circuitry, an action.

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