Systems and methods for clinical decision making for a patient receiving a neuromodulation therapy based on deep learning

    公开(公告)号:US11439826B2

    公开(公告)日:2022-09-13

    申请号:US16906914

    申请日:2020-06-19

    Abstract: Information relevant to making clinical decisions for a patient is identified based on electrical activity records of the patient's brain and electrical activity records of other patients' brains. A deep learning algorithm is applied to an electrical activity record of the patient, i.e., an input record, and to a set of electrical activity records of other patients, i.e., a set of search records, to obtain an input feature vector of the patient and a set of search feature vectors, each including features extracted by the deep learning algorithm. A similarities algorithm is applied to the input feature vector and the set of search feature vectors to identify a subset of search records most like the input record. Clinical information associated with one or more search records in the identified subset of search records is extracted from a database and used to make decisions regarding the patient's neuromodulation therapies.

    Systems, devices and methods using phase-amplitude coupling measures in implantable medical devices

    公开(公告)号:US10966625B2

    公开(公告)日:2021-04-06

    申请号:US15838383

    申请日:2017-12-12

    Abstract: A sensor of an implantable medical device senses electrical activity of the brain. A data analyzer of the device monitors an electrographic signal corresponding to the electrical activity of the sensed brain signal, and processes the brain signal to obtain a measure of phase-amplitude coupling. For a selected portion of the electrographic signal, the data analyzer detects first features and second features of the electrographic signal. The first features represent oscillations in a low frequency range, while the second features represent oscillations in a frequency range higher than the low frequency range. For example, the low frequency range may correspond to theta frequency and the higher frequency range may correspond to gamma frequency. The data analyzer determines a measure of phase-amplitude coupling between oscillations in the low frequency range and oscillations in the higher frequency range based on occurrences of second features which coincide with first features.

    Responsive electrical stimulation for movement disorders
    26.
    发明授权
    Responsive electrical stimulation for movement disorders 有权
    反应性电刺激运动障碍

    公开(公告)号:US09126042B2

    公开(公告)日:2015-09-08

    申请号:US14484701

    申请日:2014-09-12

    CPC classification number: A61N1/36067 A61N1/36135

    Abstract: An implantable neurostimulator system for treating movement disorders includes a sensor, a detection subsystem capable of identifying episodes of a movement disorder by analyzing a signal received from the sensor, and a therapy subsystem capable of supplying therapeutic electrical stimulation to treat the movement disorder. The system treats movement disorders by detecting physiological conditions characteristic of an episode of symptoms of the movement disorder and selectively initiating therapy when such conditions are detected.

    Abstract translation: 用于治疗运动障碍的可植入神经刺激器系统包括传感器,能够通过分析从传感器接收的信号来识别运动障碍发作的检测子系统,以及能够提供治疗性电刺激以治疗运动障碍的治疗子系统。 该系统通过检测运动障碍症状发作特征的生理条件来治疗运动障碍,并且当检测到这种病症时选择性地开始治疗。

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