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    • 3. 发明申请
    • MANAGEMENT AND DISTRIBUTION OF PATIENT INFORMATION
    • 患者信息管理与分配
    • US20140046690A1
    • 2014-02-13
    • US13570884
    • 2012-08-09
    • Bruce D. GundersonKevin T. OusdigianAmisha S. Patel
    • Bruce D. GundersonKevin T. OusdigianAmisha S. Patel
    • G06Q50/24
    • G16H40/63G06F19/3418G06F19/3481G16H15/00
    • Techniques, systems, and devices, for generating a patient management report based on clinician input and patient data are described. For example, one or more processors may be configured to receive a clinician input selecting at least one reporting characteristic for each of a plurality of diagnostic metrics and organize the diagnostic metrics based on the selected reporting characteristic. In addition, the one or more processors may be configured to receive patient data for at least one patient, determine a value for at least a subset of the diagnostic metrics based on the patient data, and generate a patient management report comprising the diagnostic metrics having a value that exceeds a respective threshold. The diagnostic metrics may be ordered in the patient management report based on the organization.
    • 描述了用于基于临床医生输入和患者数据生成患者管理报告的技术,系统和设备。 例如,一个或多个处理器可以被配置为接收为多个诊断度量中的每一个选择至少一个报告特征的临床医生输入,并且基于所选择的报告特征来组织诊断度量。 此外,一个或多个处理器可以被配置为接收至少一个患者的患者数据,基于患者数据确定诊断度量的至少一个子集的值,并且生成患者管理报告,其包括具有 超过相应阈值的值。 可以根据组织在患者管理报告中订购诊断指标。
    • 5. 发明申请
    • EPISODE CLASSIFIER ALGORITHM
    • EPISODE分类器算法
    • US20130079654A1
    • 2013-03-28
    • US13245585
    • 2011-09-26
    • Amisha S. PatelBruce D. GundersonMark L. Brown
    • Amisha S. PatelBruce D. GundersonMark L. Brown
    • G06F19/00A61B5/046A61B5/0464
    • A61B5/04A61B5/046A61B5/0464A61N1/3702
    • The present disclosure is directed to the classification of cardiac episodes using an algorithm. In various examples, an episode classification algorithm evaluates electrogram signal data from a near-field channel and a far-field channel. The episode classification algorithm classifies the cardiac episode based on the evaluation of the electrogram signal data for at least one of the near-field and far-field channels. In some examples, a cardiac episode being classified may be an episode that resulted in treatment being provided by an implantable medical device. Possible classifications of the cardiac episode may include, for example, unknown, inappropriate, appropriate, supraventricular tachycardia, ventricular tachycardia, ventricular fibrillation or ventricular over-sensing.
    • 本公开涉及使用算法对心脏发作的分类。 在各种示例中,事件分类算法从近场信道和远场信道评估电描记图信号数据。 情节分类算法基于对近场和远场信道中的至少一个的电描记图信号数据的评估来分类心脏发作。 在一些实例中,分类的心脏发作可能是导致由可植入医疗装置提供的治疗的发作。 心脏事件的可能分类可能包括例如未知的,不适当的,适当的,室上性心动过速,室性心动过速,心室颤动或心室过度感测。
    • 6. 发明授权
    • Method and apparatus for identifying oversensing using far-field intracardiac electrograms and marker channels
    • 使用远场心内电描记图和标记通道识别过敏的方法和装置
    • US07567835B2
    • 2009-07-28
    • US11108472
    • 2005-04-18
    • Bruce D. GundersonAmisha S. PatelChad A. BoundsMark L. Brown
    • Bruce D. GundersonAmisha S. PatelChad A. BoundsMark L. Brown
    • A61B5/04
    • A61B5/0456A61B5/0464A61B5/7217A61B5/7239A61B5/7264A61N1/3622A61N1/3702A61N1/3704
    • A method for identifying and classifying various types of oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), to assist a physician in choosing corrective action to reduce the likelihood of oversensing and inappropriate therapy delivery. Far-field electrogram (EGM) signals are analyzed to detect the occurrence of R-waves, and the result is compared to the number and pattern of R-waves sensed by the IMD and indicated on the marker channel. A marker channel with more sensed R-waves than indicated by analysis of the far-field EGM indicates the presence of oversensing, including double-counting of R-waves, T-wave oversensing, lead malfunction or failure, poor lead connections, noise associated with electromagnetic interference, non-cardiac myopotentials, etc. Identification of the type of oversensing may be determined by analysis of the number and pattern of marker channel sensed R-waves with respect to the timing of the R-waves detected from the far-field EGM.
    • 用于识别和分类可植入医疗装置(IMD)中的各种类型的过度感染的方法,例如可植入的心律转复除颤器(ICD),以协助医师选择矫正动作以减少过度和不适当的治疗递送的可能性。 分析远场电描记图(EGM)信号以检测R波的发生,并将结果与​​由IMD感测并在标记通道上指示的R波的数量和模式进行比较。 具有比通过远场EGM分析指示的更多的感测R波的标记通道表示存在过敏,包括R波的双重计数,T波超检测,导线故障或故障,导线连接不良,噪声相关 具有电磁干扰,非心脏近视等。过敏类型的识别可以通过对从远场检测到的R波的定时的标记信道感测R波的数量和模式的分析来确定 股东特别大会
    • 8. 发明授权
    • Impedance variability analysis to identify lead-related conditions
    • 阻抗变异性分析来识别铅相关条件
    • US08644931B2
    • 2014-02-04
    • US12180304
    • 2008-07-25
    • Robert W. StadlerBruce D. GundersonAmisha S. Patel
    • Robert W. StadlerBruce D. GundersonAmisha S. Patel
    • A61N1/00
    • A61N1/36521A61N1/3706A61N2001/083
    • In general, the disclosure relates to techniques for calculating mean impedance values and impedance variability values to detect a possible condition with a lead or device-lead pathway or connection. In one example, a device may be configured to determine an impedance value for an electrical path based on a plurality of measured impedance values for the electrical path, wherein the electrical path comprises a plurality of electrodes, and to determine an impedance variability value based on at least one of the plurality of measured impedance values. The device may be further configured to determine a threshold value based on the determined impedance value and the impedance variability value, compare a newly measured impedance value for the electrical path to the threshold value, and indicate a possible condition of the electrical path based on the comparison.
    • 通常,本公开涉及用于计算平均阻抗值和阻抗变异性值以用于检测具有引线或器件引导路径或连接的可能状况的技术。 在一个示例中,设备可以被配置为基于用于电路径的多个测量的阻抗值来确定电路径的阻抗值,其中电路径包括多个电极,并且基于以下方式确定阻抗变异性值: 所述多个测量的阻抗值中的至少一个。 该装置还可以被配置为基于所确定的阻抗值和阻抗变异性值来确定阈值,将新测量的电通路的阻抗值与阈值进行比较,并且基于该路径指示电路径的可能状态 比较。