PHYSIOLOGICAL SIGNAL SENSING FOR CLOSED-LOOP STIMULATION

    公开(公告)号:US20230069981A1

    公开(公告)日:2023-03-09

    申请号:US17818246

    申请日:2022-08-08

    Abstract: An example system includes stimulation generation circuitry configured to deliver electrical stimulation to a patient; sensing circuitry configured to sense one or more biomarker signals; and processing circuitry configured to: cause delivery of electrical stimulation with the patient in a first patient state; receive a first instance of a biomarker signal in presence of the electrical stimulation with the patient in the first patient state; cause delivery of electrical stimulation with the patient in a second patient state; receive a second instance of the biomarker signal in presence of the electrical stimulation with the patient in the second patient state; determine whether a difference between the first instance of the biomarker signal and the second instance of the biomarker signal satisfies a threshold; select a therapy mode based on whether the difference satisfies the threshold; and cause delivery of electrical stimulation in accordance with the selected therapy mode.

    TEMPLATE-BASED DETERMINATION OF ELECTROPHYSIOLOGICAL SIGNAL SOURCES

    公开(公告)号:US20230092658A1

    公开(公告)日:2023-03-23

    申请号:US17410268

    申请日:2021-08-24

    Abstract: Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system is configured to receive information representing a plurality of signals sensed from a tissue of a patient via a plurality of electrode combinations, wherein the plurality of electrode combinations comprises different electrode combinations comprising electrodes disposed at different positions of the lead implanted in the patient, determine one or more features from the information representing the plurality of signals, and compare the one or more features to a plurality of templates, each template of the plurality of templates representing respective locations of a signal source within the tissue. The system may then determine, based on the comparison of the one or more features to the plurality of templates, an estimated location of the signal source with respect to the lead.

    DIRECTIONAL SENSING FOR PROGRAMMING GUIDANCE

    公开(公告)号:US20220062640A1

    公开(公告)日:2022-03-03

    申请号:US17462676

    申请日:2021-08-31

    Abstract: Devices, systems, and techniques for identifying electrodes closest to a target region of tissue are described. In one example, a device includes sensing circuitry configured to sense electrical signals from a plurality of electrode combinations. Processing circuitry identifies a first electrode combination of a first subset of electrode combinations. Each electrode combination of the first subset of electrode combination includes electrodes located at different axial positions along a length of the medical lead. The processing circuitry identifies a second electrode combination of a second subset of electrode combinations. Each electrode combination of the second subset of electrode combinations includes electrodes located at a same axial position and different circumferential positions around a perimeter of the medical lead. The processing circuitry then determines a third electrode combination and controls delivery of electrical stimulation via the third electrode combination.

    THERAPEUTIC ELECTRODE LOCATION PREDICTION VISUALIZATION USING MACHINE LEARNING

    公开(公告)号:US20230263444A1

    公开(公告)日:2023-08-24

    申请号:US18101885

    申请日:2023-01-26

    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.

    Stimulation induced neural response for detection of lead movement

    公开(公告)号:US11376434B2

    公开(公告)日:2022-07-05

    申请号:US16945639

    申请日:2020-07-31

    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.

    Stimulation induced neural response for parameter selection

    公开(公告)号:US12168133B2

    公开(公告)日:2024-12-17

    申请号:US18298179

    申请日:2023-04-10

    Abstract: Devices, systems, and techniques are described 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.

    STIMULATION INDUCED NEURAL RESPONSE FOR DETECTION OF LEAD MOVEMENT

    公开(公告)号:US20220032059A1

    公开(公告)日:2022-02-03

    申请号:US16945639

    申请日:2020-07-31

    Abstract: Devices, systems, and techniques are described 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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