知搜-全球专利检索

  1. Login
  2. Sign Up

Search Results

34 records (took 0.018 seconds)

    Algorithm for detecting a seizure from cardiac data
    1.
    发明授权
    Algorithm for detecting a seizure from cardiac data 有权
    用于从心脏数据中检测癫痫发作的算法

    公开(公告)号：US08562536B2

    公开(公告)日：2013-10-22

    申请号：US12770562

    申请日：2010-04-29

    Applicant: Ivan Osorio ,  Mark Frei

    Inventor： Ivan Osorio ,  Mark Frei

    IPC: A61B5/02

    CPC classification number: A61B5/4094 ,  A61B5/024 ,  A61B5/02405 ,  A61B5/0245 ,  A61B5/04012 ,  A61B5/0456 ,  A61B5/7275 ,  A61B5/746 ,  A61N1/36064 ,  G06F19/00

    Abstract: Methods, systems, and apparatus for detecting the seizure in a patient using a medical device. The determination is performed by collecting cardiac data; determining valid heart beats suitable for seizure detection from the cardiac data; calculating heart rate data of interest from the valid heart beats; and identifying a seizure event from the heart rate data. The medical device may then take a responsive action, such as warning, logging the time of the seizure, computing and storing one or more seizure severity indices, and/or treating the seizure.

    Abstract translation: 用于使用医疗装置检测患者癫痫发作的方法，系统和装置。 该确定是通过收集心脏数据进行的; 从心脏数据确定适合于发作检测的有效心跳; 从有效的心跳中计算感兴趣的心率数据; 并从心率数据识别癫痫事件。 然后，医疗装置可以采取响应动作，例如警告，记录癫痫发作的时间，计算和存储一个或多个癫痫发作严重程度指数，和/或治疗癫痫发作。

    ALGORITHM FOR DETECTING A SEIZURE FROM CARDIAC DATA
    2.
    发明申请
    ALGORITHM FOR DETECTING A SEIZURE FROM CARDIAC DATA 有权
    用于检测心脏病数据的算法

    公开(公告)号：US20110270096A1

    公开(公告)日：2011-11-03

    申请号：US12770562

    申请日：2010-04-29

    Applicant: Ivan Osorio ,  Mark Frei

    Inventor： Ivan Osorio ,  Mark Frei

    IPC: A61B5/0205

    CPC classification number: A61B5/4094 ,  A61B5/024 ,  A61B5/02405 ,  A61B5/0245 ,  A61B5/04012 ,  A61B5/0456 ,  A61B5/7275 ,  A61B5/746 ,  A61N1/36064 ,  G06F19/00

    Abstract: Methods, systems, and apparatus for detecting the seizure in a patient using a medical device. The determination is performed by collecting cardiac data; determining valid heart beats suitable for seizure detection from the cardiac data; calculating heart rate data of interest from the valid heart beats; and identifying a seizure event from the heart rate data. The medical device may then take a responsive action, such as warning, logging the time of the seizure, computing and storing one or more seizure severity indices, and/or treating the seizure.

    Abstract translation: 用于使用医疗装置检测患者癫痫发作的方法，系统和装置。 该确定是通过收集心脏数据进行的; 从心脏数据确定适合于发作检测的有效心跳; 从有效的心跳中计算感兴趣的心率数据; 并从心率数据识别癫痫事件。 然后，医疗装置可以采取响应动作，例如警告，记录癫痫发作的时间，计算和存储一个或多个癫痫发作严重程度指数，和/或治疗癫痫发作。

    PROBABILISTIC NEUROLOGICAL DISORDER TREATMENT
    3.
    发明申请
    PROBABILISTIC NEUROLOGICAL DISORDER TREATMENT 有权
    临床神经病学治疗

    公开(公告)号：US20070213785A1

    公开(公告)日：2007-09-13

    申请号：US11380752

    申请日：2006-04-28

    Applicant: Ivan Osorio ,  Mark Frei

    Inventor： Ivan Osorio ,  Mark Frei

    IPC: A61N1/36

    CPC classification number: G16H50/20 ,  A61B5/0006 ,  A61B5/0476 ,  A61B5/4094 ,  A61N1/36082 ,  A61N1/361 ,  G06F19/00 ,  G06F19/3481

    Abstract: Disclosed are probabilistic approaches to patient evaluation, warning and treatment of a neurological disorder. Disclosed techniques estimate probability distribution functions or cumulative distribution functions, determined by relying on representative historical profiles, comprising information in short and/or long timescales obtained at times that may be intermittent or temporally discontinuous from each other or from other events of interest. The patient may thereby be treated based on the determined probability information.

    Abstract translation: 公开了患者评估，警告和治疗神经障碍的概率方法。 披露的技术估计概率分布函数或累积分布函数，其通过依赖于代表性历史概况确定，包括在可能彼此间断或间断不连续的时间或从其他感兴趣事件的时间获得的短时间和/或长时间尺度的信息。 因此，可以基于所确定的概率信息来对患者进行治疗。

    Bi-directional cerebral interface system
    4.
    发明授权
    Bi-directional cerebral interface system 有权
    双向脑界面系统

    公开(公告)号：US07177678B1

    公开(公告)日：2007-02-13

    申请号：US10430133

    申请日：2003-05-05

    Applicant: Ivan Osorio ,  Mark Frei

    Inventor： Ivan Osorio ,  Mark Frei

    IPC: A61N1/375

    CPC classification number: A61B5/6882 ,  A61B5/02055 ,  A61B5/026 ,  A61B5/031 ,  A61B5/0402 ,  A61B5/0476 ,  A61B5/0488 ,  A61B5/0496 ,  A61B5/0531 ,  A61B5/076 ,  A61B5/14532 ,  A61B5/14546 ,  A61B5/4094 ,  A61N1/3605 ,  A61N1/36082 ,  A61N1/37217 ,  A61N1/375

    Abstract: A cerebral interface system including a housing mechanism spaced at least partially in a cavity formed in the subject's skull; an attaching mechanism; a fluid-tight sealing mechanism; a control mechanism; a communication mechanism with one or more sensors embedded in the subject's brain connecting the control mechanism to the subject's brain; a power source; an inner wall substantially aligned with an inner surface of the subject's skull; an outer wall which may include an auxiliary portion extending tangentially outwardly from the cavity formed in the subject's skull; a communication link connecting the control mechanism to external apparatus for transmitting or receiving information related to detecting, predicting, controlling, or aborting abnormal brain activity of the subject; and an output mechanism which is activatable by the control mechanism.

    Abstract translation: 一种脑界面系统，包括至少部分地在形成于被检者的头骨中的空腔中间隔开的壳体机构; 连接机构; 流体密封机构; 控制机制; 一个通信机制，其中一个或多个传感器嵌入在受试者的大脑中，将控制机制连接到受检者的大脑; 电源; 基本上与被检者的头骨的内表面对齐的内壁; 外壁，其可以包括辅助部分，该辅助部分从形成在被检者的头骨中的空腔切向向外延伸; 将控制机构连接到外部设备的通信链路，用于发送或接收与检测，预测，控制或中止对象的异常脑活动有关的信息; 以及可由控制机构激活的输出机构。

    Method, computer program, and system for automated real-time signal analysis for detection, quantification, and prediction of signal changes
    5.
    发明申请
    Method, computer program, and system for automated real-time signal analysis for detection, quantification, and prediction of signal changes 有权
    方法，计算机程序和用于信号变化的检测，量化和预测的自动化实时信号分析系统

    公开(公告)号：US20070271066A1

    公开(公告)日：2007-11-22

    申请号：US11724738

    申请日：2007-03-16

    Applicant: Alexei Nikitin ,  Mark Frei ,  Naresh Bhavaraju ,  Ivan Osorio ,  Ruslan Davidchack

    Inventor： Alexei Nikitin ,  Mark Frei ,  Naresh Bhavaraju ,  Ivan Osorio ,  Ruslan Davidchack

    IPC: G06F17/18

    CPC classification number: G06K9/00536 ,  G06F17/10 ,  G06F17/18 ,  G06F19/24 ,  G16H50/20 ,  G16H50/50

    Abstract: A method, computer program, and system for real-time signal analysis providing characterization of temporally-evolving densities and distributions of signal features of arbitrary-type signals in a moving time window by tracking output of order statistic filters (also known as percentile, quantile, or rank-order filters). Given a raw input signal of arbitrary type, origin, or scale, the present invention enables automated quantification and detection of changes in the distribution of any set of quantifiable features of that signal as they occur in time. Furthermore, the present invention's ability to rapidly and accurately detect changes in certain features of an input signal can also enable prediction in cases where the detected changes associated with an increased likelihood of future signal changes.

    Abstract translation: 一种用于实时信号分析的方法，计算机程序和系统，通过跟踪顺序统计滤波器的输出（也称为百分位数，分位数）来提供移动时间窗口中的任意类型信号的时间演化密度和信号特征分布的表征 或等级阶滤波器）。 给定任意类型，原点或尺度的原始输入信号，本发明能够自动量化和检测该信号随时间发生的任何一组可量化特征的分布变化。 此外，本发明快速准确地检测输入信号的某些特征的变化的能力还可以在与未来信号的可能性增加相关联的检测到的变化的情况下进行预测。

    Method, computer program, and system for automated real-time signal analysis for detection, quantification, and prediction of signal changes
    6.
    发明申请
    Method, computer program, and system for automated real-time signal analysis for detection, quantification, and prediction of signal changes 有权
    方法，计算机程序和用于信号变化的检测，量化和预测的自动化实时信号分析系统

    公开(公告)号：US20050021313A1

    公开(公告)日：2005-01-27

    申请号：US10911031

    申请日：2004-08-04

    Applicant: Alexei Nikitin ,  Mark Frei ,  Naresh Bhavaraju ,  Ivan Osorio

    Inventor： Alexei Nikitin ,  Mark Frei ,  Naresh Bhavaraju ,  Ivan Osorio

    IPC: G06F17/18 ,  H03F1/26

    CPC classification number: G06K9/00536 ,  G06F17/10 ,  G06F17/18 ,  G06F19/24 ,  G16H50/20 ,  G16H50/50

    Abstract: A method, computer program, and system for real-time signal analysis providing characterization of temporally-evolving densities and distributions of signal features of arbitrary-type signals in a moving time window by tracking output of order statistic filters (also known as percentile, quantile, or rank-order filters). Given a raw input signal of arbitrary type, origin, or scale, the present invention enables automated quantification and detection of changes in the distribution of any set of quantifiable features of that signal as they occur in time. Furthermore, the present invention's ability to rapidly and accurately detect changes in certain features of an input signal can also enable prediction in cases where the detected changes associated with an increased likelihood of future signal changes.

    Abstract translation: 一种用于实时信号分析的方法，计算机程序和系统，通过跟踪顺序统计滤波器的输出（也称为百分位数，分位数）来提供移动时间窗口中的任意类型信号的时间演化密度和信号特征分布的表征 或等级阶滤波器）。 给定任意类型，原点或尺度的原始输入信号，本发明能够自动量化和检测该信号随时间发生的任何一组可量化特征的分布变化。 此外，本发明快速准确地检测输入信号的某些特征的变化的能力还可以在与未来信号的可能性增加相关联的检测到的变化的情况下进行预测。

Patent Agency Ranking