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    Multimodal brain sensing lead
    11.
    发明授权
    Multimodal brain sensing lead 有权

    公开(公告)号：US10123717B2

    公开(公告)日：2018-11-13

    申请号：US13673312

    申请日：2012-11-09

    Applicant: NeuroPace, Inc.

    Inventor： Thomas K. Tcheng

    IPC: A61N1/05 ,  A61N1/00 ,  A61B5/0478 ,  A61N1/36 ,  A61B5/00 ,  A61B5/026 ,  A61B5/1455 ,  A61B5/16 ,  A61B5/0205 ,  A61B5/04 ,  A61N1/02

    Abstract: A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

    Spatiotemporal Pattern Recognition for Neurological Event Detection and Prediction in an Implantable Device
    13.
    发明申请
    Spatiotemporal Pattern Recognition for Neurological Event Detection and Prediction in an Implantable Device 有权
    时间模式识别在植入式装置中的神经事件检测和预测

    公开(公告)号：US20130072810A1

    公开(公告)日：2013-03-21

    申请号：US13679925

    申请日：2012-11-16

    Applicant: NeuroPace, Inc.

    Inventor： Brett M. Wingeier ,  Thomas K. Tcheng

    IPC: A61B5/0476

    CPC classification number: A61B5/0476 ,  A61B5/0031 ,  A61B5/048 ,  A61B5/0484 ,  A61B5/076 ,  A61B5/16 ,  A61B5/4094 ,  A61B5/7257

    Abstract: A system and method for detecting and predicting neurological events with an implantable device uses a relatively low-power central processing unit in connection with signal processing circuitry to identify features (including half waves) and calculate window-based characteristics (including line lengths and areas under the curve of the waveform) in one or more electrographic signals received from a patient's brain. The features and window-based characteristics are employed within the framework of a programmable finite state machine to identify patterns and sequences in and across the electrographic signals, facilitating early and reliable detection and prediction of complex spatiotemporal neurological events in real time, and enabling responsive action by the implantable device.

    Abstract translation: 使用可植入装置检测和预测神经病学的系统和方法使用与信号处理电路相关联的相对低功率的中央处理单元来识别特征（包括半波）并计算基于窗口的特征（包括线路长度和面积 波形的曲线）在从患者的大脑接收的一个或多个电描记信号中。 在可编程有限状态机的框架内采用特征和基于窗口的特征，以识别和跨越电图像信号的图案和序列，便于实时地对复杂的时空神经事件进行早期可靠的检测和预测，并且能够实现响应动作 通过可植入装置。

    Systems and methods for labeling large datasets of physiological records based on unsupervised machine learning
    14.
    发明授权
    Systems and methods for labeling large datasets of physiological records based on unsupervised machine learning 有权

    公开(公告)号：US11481578B2

    公开(公告)日：2022-10-25

    申请号：US16796692

    申请日：2020-02-20

    Applicant: NeuroPace, Inc.

    Inventor： Sharanya Arcot Desai ,  Thomas K. Tcheng ,  Benjamin E. Shanahan

    IPC: G06K9/62 ,  G06N3/08 ,  G06F9/30

    Abstract: A deep learning model and dimensionality reduction are applied to each of a plurality of records of physiological information to derive a plurality of feature vectors. A similarities algorithm is applied to the plurality of feature vectors to form a plurality of clusters, each including a set of feature vectors. An output comprising information that enables a display of one or more of the plurality of clusters is provided, and a mechanism for selecting at least one feature vector within a selected cluster of the plurality of clusters is enabled. Upon selection of a feature vector, an output comprising information that enables a display of the record of physiological information corresponding to the selected feature vector is provided, and a mechanism for assigning a label to the displayed record is enabled. The assigned label is then automatically assigned to the records corresponding to the remaining feature vectors in the selected cluster.

    MULTIMODAL BRAIN SENSING LEAD
    16.
    发明申请
    MULTIMODAL BRAIN SENSING LEAD 有权

    公开(公告)号：US20210259607A1

    公开(公告)日：2021-08-26

    申请号：US17313866

    申请日：2021-05-06

    Applicant: NeuroPace, Inc.

    Inventor： Thomas K. Tcheng

    IPC: A61B5/291 ,  A61N1/36 ,  A61B5/00 ,  A61B5/026 ,  A61B5/1455 ,  A61B5/16 ,  A61N1/05 ,  A61B5/316 ,  A61B5/0205 ,  A61N1/02

    Abstract: A medical lead with at least a distal portion thereof implantable in the brain of a patient is described, together with methods and systems for using the lead. The lead is provided with at least two sensing modalities (e.g., two or more sensing modalities for measurements of field potential measurements, neuronal single unit activity, neuronal multi unit activity, optical blood volume, optical blood oxygenation, voltammetry and rheoencephalography). Acquisition of measurements and the lead components and other components for accomplishing a measurement in each modality are also described as are various applications for the multimodal brain sensing lead.

    SYSTEMS, DEVICES AND METHODS USING PHASE-AMPLITUDE COUPLING MEASURES IN IMPLANTABLE MEDICAL DEVICES
    17.
    发明申请
    SYSTEMS, DEVICES AND METHODS USING PHASE-AMPLITUDE COUPLING MEASURES IN IMPLANTABLE MEDICAL DEVICES 审中-公开

    公开(公告)号：US20190175040A1

    公开(公告)日：2019-06-13

    申请号：US15838383

    申请日：2017-12-12

    Applicant: NeuroPace, Inc.

    Inventor： Sharanya Arcot Desai ,  Thomas K. Tcheng ,  Stephen T. Archer

    IPC: A61B5/048 ,  A61B5/00 ,  A61N1/05 ,  A61N1/372 ,  A61N1/36 ,  A61M5/172

    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.

    Systems, devices and methods using phase-amplitude coupling measures in implantable medical devices
    20.
    发明授权
    Systems, devices and methods using phase-amplitude coupling measures in implantable medical devices 有权

    公开(公告)号：US12138064B2

    公开(公告)日：2024-11-12

    申请号：US17191175

    申请日：2021-03-03

    Applicant: NeuroPace, Inc.

    Inventor： Sharanya Arcot Desai ,  Thomas K. Tcheng ,  Stephen T. Archer

    IPC: A61N1/372 ,  A61B5/00 ,  A61B5/291 ,  A61B5/316 ,  A61B5/374 ,  A61M5/172 ,  A61N1/36 ,  A61N1/05

    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.

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