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    • 4. 发明申请
    • Complexity-based dynamical analysis of a network
    • 网络的基于复杂度的动态分析
    • US20070066906A1
    • 2007-03-22
    • US11483172
    • 2006-07-10
    • Ary GoldbergerChung-Kang PengMadalena Costa
    • Ary GoldbergerChung-Kang PengMadalena Costa
    • A61B5/04
    • A61B5/0456A61B5/0476A61B5/08A61B5/1116G06F19/00
    • In a subject undergoing therapeutic intervention, efficacy of the therapeutic intervention is assessed based on a series of physiologic data associated with the subject. The series of physiologic data is analyzed to produce a measure of complexity. The complexity measure is then compared to a control. The efficacy of the therapeutic intervention is assessed based on the comparison of the complexity measure to the control. The control may be, for example, a complexity measure taken prior to initiation of the therapeutic intervention, a complexity measure taken from a different subject, or a predetermined threshold value. The measure of complexity is generated using, for example, a multiscale entropy measurement (MSE), a time asymmetry measurement, and/or an information-based similarity measurement. An increase in complexity indicates a positive effect of the therapeutic intervention, while a decrease in complexity indicates a negative effect of the therapeutic intervention. Stability of a non-biologic network, such as a computer network, communications network or transportation network can also be assessed.
    • 在进行治疗干预的受试者中,基于与受试者相关的一系列生理学数据来评估治疗干预的功效。 分析一系列生理数据以产生复杂度。 然后将复杂度测量与控件进行比较。 基于复杂性测量与对照的比较来评估治疗干预的疗效。 控制可以是例如在开始治疗干预之前采取的复杂性度量,从不同对象获取的复杂度度量或预定阈值。 使用例如多尺度熵测量(MSE),时间不对称测量和/或基于信息的相似度测量来产生复杂度的度量。 复杂性的增加表明治疗干预的积极效果,而复杂性的降低表明治疗干预的负面影响。 还可以评估诸如计算机网络,通信网络或运输网络之类的非生物网络的稳定性。
    • 6. 发明申请
    • Assessment of Sleep Quality and Sleep Disordered Breathing Based on Cardiopulmonary Coupling
    • 基于心肺耦合的睡眠质量和睡眠呼吸紊乱评估
    • US20080119747A1
    • 2008-05-22
    • US12018768
    • 2008-01-23
    • Joseph MIETUSChung-Kang PengRobert ThomasAry Goldberger
    • Joseph MIETUSChung-Kang PengRobert ThomasAry Goldberger
    • A61B5/0205
    • A61B5/0456A61B5/0205A61B5/0476A61B5/0496A61B5/0816A61B5/4815A61B5/4818A61B5/7257A61B5/7278
    • An assessment of sleep quality and sleep disordered breathing is determined from the cardiopulmonary coupling between two physiological data series. In an embodiment, an R-R interval series is derived from an electrocardiogram (ECG) signal. The normal beats from the R-R interval series are extracted to produce a normal-to-normal (NN) interval series. The amplitude variations in the QRS complex are used to extract to a surrogate respiration signal (i.e., ECG-derived respiration (EDR)) that is associated with the NN interval series. The two series are corrected to remove outliers, and resampled. The cross-spectral power and coherence of the two resampled signals are calculated over a plurality of coherence windows. For each coherence window, the product of the coherence and cross-spectral power is used to calculate coherent cross power. Using the appropriate thresholds for the coherent cross power, the proportion of sleep spent in CAP, non-CAP, and wake and/or REM are determined.
    • 睡眠质量和睡眠呼吸紊乱的评估是从两个生理数据序列之间的心肺耦合确定的。 在一个实施例中,从心电图(ECG)信号导出R-R间期序列。 提取R-R间隔序列中的正常搏动以产生正常到正常(NN)间隔序列。 QRS复合物中的幅度变化用于提取与NN间期序列相关联的替代呼吸信号(即,ECG导出的呼吸(EDR))。 纠正这两个系列以消除异常值,并重新采样。 在多个相干窗口上计算两个重采样信号的交叉光谱功率和相干性。 对于每个相干窗口,使用相干和交叉光谱功率的乘积来计算相干交叉功率。 使用相关交叉功率的适当阈值,确定在CAP,非CAP和唤醒和/或REM中花费的睡眠比例。