Complexity-based dynamical assay for assessing the toxicity and efficacy of pharmaceutical and other therapeutic interventions
    1.
    发明授权
    Complexity-based dynamical assay for assessing the toxicity and efficacy of pharmaceutical and other therapeutic interventions 失效
    用于评估药物和其他治疗干预措施的毒性和功效的基于复杂性的动力学测定

    公开(公告)号:US07601124B2

    公开(公告)日:2009-10-13

    申请号:US11356044

    申请日:2006-02-17

    IPC分类号: A61B5/02

    摘要: 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.

    摘要翻译: 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。

    Complexity-based dynamical analysis of a network
    2.
    发明授权
    Complexity-based dynamical analysis of a network 有权
    网络的基于复杂度的动态分析

    公开(公告)号:US07882167B2

    公开(公告)日:2011-02-01

    申请号:US11483172

    申请日:2006-07-10

    IPC分类号: G06F15/16

    摘要: 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.

    摘要翻译: 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。