Method and apparatus for communicating an alarm while monitoring
    1.
    发明授权
    Method and apparatus for communicating an alarm while monitoring 有权
    监控时传送报警的方法和装置

    公开(公告)号:US07639145B2

    公开(公告)日:2009-12-29

    申请号:US10834625

    申请日:2004-04-29

    Abstract: Method and apparatus for displaying an alarm condition on a patient monitor. A graphical user interface can include an alarm communication device that indicates a state of a physiological parameter. The alarm communication device can include a stable region, an intermediate region, and a critical region. At least one of the intermediate region and the critical region can represent the alarm condition. The graphical user interface can also include a tolerance control that adjusts at least one of a boundary and a width of at least one of the stable region, the intermediate region, and the critical region in order to adjust the alarm condition.

    Abstract translation: 用于在患者监视器上显示报警状态的方法和装置。 图形用户界面可以包括指示生理参数的状态的报警通信设备。 报警通信装置可以包括稳定区域,中间区域和临界区域。 中间区域和临界区域中的至少一个可以表示报警条件。 图形用户界面还可以包括公差控制,该公差控制调整稳定区域,中间区域和临界区域中的至少一个的边界和宽度中的至少一个,以便调整报警条件。

    Atrial fibrillation detection method and apparatus
    2.
    发明授权
    Atrial fibrillation detection method and apparatus 有权
    心房颤动检测方法及装置

    公开(公告)号:US06937887B2

    公开(公告)日:2005-08-30

    申请号:US10273614

    申请日:2002-10-18

    CPC classification number: A61B5/02405 A61B5/046 A61B5/7264

    Abstract: A method and apparatus to detect irregular heart activity and estimate heart rate. In one embodiment, the heart rate estimation apparatus includes a group of six RR storage structures that receives an input of six successive RR interval values. The apparatus also includes a probability engine coupled to the group of RR storage structures, the probability engine is operable to calculate and output a mean value of the six RR interval values and a median value of the mean value and the six RR interval. In one embodiment, the apparatus carries out a method including the acts of determining a plurality of interval values between successive R waves; determining a mean of a group of six interval values; determining a median interval value for a group including the group of six interval values and the mean of the group of six interval values; and determining a running average of interval values between successive R waves using the median interval value.

    Abstract translation: 检测不规则心脏活动并估计心率的方法和装置。 在一个实施例中,心率估计装置包括接收六个连续RR间隔值的输入的一组六个RR存储结构。 所述装置还包括耦合到所述一组RR存储结构的概率引擎,所述概率引擎可操作以计算并输出所述六个RR间隔值的平均值以及所述平均值和所述六个RR间隔的中值。 在一个实施例中,该装置执行包括确定连续R波之间的多个间隔值的动作的方法; 确定一组六个间隔值的平均值; 确定包括六个间隔值组的组和六个间隔值组的平均值的组的中值间隔值; 以及使用所述中值间隔值来确定连续R波之间的间隔值的运行平均值。

    Atrial fibrillation detection method and apparatus

    公开(公告)号:US06490479B2

    公开(公告)日:2002-12-03

    申请号:US09750846

    申请日:2000-12-28

    CPC classification number: A61B5/02405 A61B5/046 A61B5/7264

    Abstract: A method and apparatus to detect irregular heart activity based upon a ventricular activity analysis, P wave activity, similarities in R wave to R wave intervals, and a state evaluation. The invention includes a beat classification module that receives ECG information as an input. The beat classification module determines whether the heart beat being analyzed falls within classifications that are suitable for use in analyzing whether an irregular condition exists. If the beat falls within a class suitable for analysis, the ECG information is fed to an interval calculator. The interval calculator determines the interval between successive R waves. The information from the interval calculator is provided to a probability engine and to a contextual analysis module. The probability engine is designed to detect atrial fibrillation based upon beat classification and RR interval values from the interval calculator. The probability engine outputs a state variable that indicates a probability of whether an irregular condition is present. The contextual analysis module matches predefined maps to a running map of the current ECG information. The contextual analysis module also determines the similarity between consecutive RR intervals and checks for sequences of matching classes. ECG information is also supplied to a P wave detection module to detect the presence of P waves. Information from the probability analysis engine, the contextual analysis module, and the P wave detection module is then provided to a state evaluation module. The state evaluation module uses the outputs of the three modules to determine whether an irregular condition exists.

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