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    • 1. 发明授权
    • Electrode lead integrity reports
    • 电极铅完整性报告
    • US09037240B2
    • 2015-05-19
    • US12180314
    • 2008-07-25
    • Bruce D. Gunderson
    • Bruce D. Gunderson
    • A61N1/36A61N1/372A61N1/362A61N1/37A61N1/39A61N1/08
    • A61N1/37247A61N1/3621A61N1/3704A61N1/3925A61N2001/083
    • In general, the disclosure relates to techniques for providing a combination of stored diagnostic information, including impedance trend data, into one displayable report that may be used to diagnose a possible condition with an implantable medical electrode lead. One example device includes a processor that is configured to obtain impedance trend data for an electrical path, the electrical path comprising a plurality of electrodes, and to obtain additional diagnostic data that is associated with the electrical path, the additional diagnostic data being distinct from the impedance trend data. The device is further configured to combine both the impedance trend data and the additional diagnostic data into a displayable report that indicates whether there is a possible condition with the electrical path. The additional diagnostic data may include non-sustained episode data, sensing integrity data, pacing threshold, and/or electrogram data (such as P-wave amplitude and/or R-wave amplitude data).
    • 通常,本公开涉及将存储的诊断信息(包括阻抗趋势数据)的组合提供到可用于使用可植入医疗电极引线诊断可能状况的可显示报告中的技术。 一个示例性设备包括被配置为获得用于电路径的阻抗趋势数据的处理器,该电路径包括多个电极,并且获得与电路径相关联的附加诊断数据,附加诊断数据不同于 阻抗趋势数据。 该装置还被配置为将阻抗趋势数据和附加诊断数据两者组合成可显示报告,该报告指示电路是否存在可能的状况。 附加诊断数据可以包括非持续发作数据,感测完整性数据,起搏阈值和/或电描记图数据(例如P波幅度和/或R波振幅数据)。
    • 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。
    • 10. 发明授权
    • Method and apparatus for identifying cardiac and non-cardiac oversensing using intracardiac electrograms
    • 使用心内电描记图识别心脏和非心脏过敏的方法和装置
    • US07783354B2
    • 2010-08-24
    • US10418857
    • 2003-04-18
    • Bruce D. Gunderson
    • Bruce D. Gunderson
    • A61N1/00
    • A61B5/0452A61B5/04525A61B5/0456A61B5/0464A61B5/7203A61N1/3622A61N1/3702A61N1/3925
    • A method and apparatus for automatically identifying various types of cardiac and non-cardiac oversensing and automatically performing a corrective action to reduce the likelihood of oversensing is provided. EGM data, including time intervals between sensed and paced events and signal morphologies, are analyzed for patterns indicative of various types of oversensing, including oversensing of far-field R-waves, R-waves, T-waves, or noise associated with electromagnetic interference, non-cardiac myopotentials, a lead fracture, or a poor lead connection. Identification of oversensing and its suspected cause are reported so that corrective action may be taken. The corrective action may include, for example, adjusting sensing parameters such as blanking periods, decay constants, decay delays, threshold values, sensitivity values, electrode configurations and the like.
    • 提供了一种用于自动识别各种类型的心脏和非心脏过度感觉并自动执行校正动作以减少过度感觉的可能性的方法和装置。 分析EGM数据,包括感测和起搏事件与信号形态之间的时间间隔,用于指示各种类型的过度感应的模式,包括远场R波,R波,T波或与电磁干扰相关的噪声的过度干扰 ,非心脏神经障碍,铅断裂或不良引线连接。 报告过敏的识别及其疑似原因,以便采取纠正措施。 校正动作可以包括例如调整感测参数,例如消隐周期,衰减常数,衰减延迟,阈值,灵敏度值,电极配置等。