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。

    System and method for assessing sleep quality
    3.
    发明授权
    System and method for assessing sleep quality 有权
    睡眠质量评估系统和方法

    公开(公告)号:US08401626B2

    公开(公告)日:2013-03-19

    申请号:US12570163

    申请日:2009-09-30

    IPC分类号: A61B5/08 A61B5/04

    摘要: An assessment of sleep quality and sleep disordered breathing is determined from cardiopulmonary coupling between two physiological data series. 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 interval series. The amplitude variations in the QRS complex are used to extract a surrogate respiration signal (i.e., ECG-derived respiration) 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. Coherent cross-power can be applied to differentiate obstructive from non-obstructive disease, and admixtures of the same.

    摘要翻译: 通过两个生理数据序列之间的心肺耦合来确定睡眠质量和睡眠呼吸紊乱的评估。 从心电图(ECG)信号导出R-R间期序列。 提取R-R间隔序列的正常搏动以产生正常到正常的间隔序列。 QRS复合体的振幅变化用于提取与NN间隔序列相关联的替代呼吸信号(即ECG导出的呼吸)。 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。 使用相干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。 相干交叉功能可以应用于区分阻塞性和非阻塞性疾病,以及它们的混合物。

    Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling
    4.
    发明授权
    Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling 有权
    基于心肺耦合评估睡眠质量和睡眠呼吸障碍

    公开(公告)号:US07734334B2

    公开(公告)日:2010-06-08

    申请号:US11178990

    申请日:2005-07-12

    IPC分类号: A61B5/04

    摘要: An assessment of sleep quality and sleep disordered breathing is determined from cardiopulmonary coupling between two physiological data series. 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 interval series. The amplitude variations in the QRS complex are used to extract a surrogate respiration signal (i.e., ECG-derived respiration) 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. Coherent cross-power can be applied to differentiate obstructive from non-obstructive disease, and admixtures of the same.

    摘要翻译: 通过两个生理数据序列之间的心肺耦合来确定睡眠质量和睡眠呼吸紊乱的评估。 从心电图(ECG)信号导出R-R间期序列。 提取R-R间隔序列的正常搏动以产生正常到正常的间隔序列。 QRS复合体的振幅变化用于提取与NN间隔序列相关联的替代呼吸信号(即ECG导出的呼吸)。 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。 使用相干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。 相干交叉功能可以应用于区分阻塞性和非阻塞性疾病,以及它们的混合物。

    System And Method For Assessing Sleep Quality
    5.
    发明申请
    System And Method For Assessing Sleep Quality 有权
    用于评估睡眠质量的系统和方法

    公开(公告)号:US20100069762A1

    公开(公告)日:2010-03-18

    申请号:US12570163

    申请日:2009-09-30

    IPC分类号: A61B5/0205

    摘要: An assessment of sleep quality and sleep disordered breathing is determined from cardiopulmonary coupling between two physiological data series. 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 interval series. The amplitude variations in the QRS complex are used to extract a surrogate respiration signal (i.e., ECG-derived respiration) 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. Coherent cross-power can be applied to differentiate obstructive from non-obstructive disease, and admixtures of the same.

    摘要翻译: 通过两个生理数据序列之间的心肺耦合来确定睡眠质量和睡眠呼吸紊乱的评估。 从心电图(ECG)信号导出R-R间期序列。 提取R-R间隔序列的正常搏动以产生正常到正常的间隔序列。 QRS复合体的振幅变化用于提取与NN间隔序列相关联的替代呼吸信号(即ECG导出的呼吸)。 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。 使用相干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。 相干交叉功能可以应用于区分阻塞性和非阻塞性疾病,以及它们的混合物。

    Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling
    6.
    发明授权
    Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling 有权
    基于心肺耦合评估睡眠质量和睡眠呼吸障碍

    公开(公告)号:US07324845B2

    公开(公告)日:2008-01-29

    申请号:US10846945

    申请日:2004-05-17

    IPC分类号: A61B5/04

    摘要: 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.

    摘要翻译: 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。

    Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling
    7.
    发明授权
    Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling 有权
    基于心肺耦合评估睡眠质量和睡眠呼吸障碍

    公开(公告)号:US08403848B2

    公开(公告)日:2013-03-26

    申请号:US12018768

    申请日:2008-01-23

    IPC分类号: A61B5/00 A61B5/08 A61B5/04

    摘要: 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.

    摘要翻译: 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。

    Complexity-based analysis of cellular flickering
    8.
    发明申请
    Complexity-based analysis of cellular flickering 审中-公开
    细胞闪烁的基于复杂度的分析

    公开(公告)号:US20090316976A1

    公开(公告)日:2009-12-24

    申请号:US12457480

    申请日:2009-06-12

    IPC分类号: G06K9/00

    摘要: Provided herein are methods and systems for assessing cellular flickering. The methods include using a phase contrast microscope to obtain a plurality of images of a cell, digitizing and/or pixilating the plurality of images such that the plurality of images are segmented into an array of pixels, each pixel representing a portion of the cell, and measuring the fluctuations in the pixel intensities. The methods further include calculating a complexity measure for the individual pixels based on the measured fluctuations of the portions of the cell represented by the individual pixels. Such complexity measures can then be mapped and/or plotted in order to assess cellular flickering, and thereby assess biological function and other characteristics of the cell.

    摘要翻译: 本文提供了用于评估细胞闪烁的方法和系统。 所述方法包括使用相差显微镜来获得单元的多个图像,对所述多个图像进行数字化和/或像素化,使得所述多个图像被分割为像素阵列,每个像素表示所述单元的一部分, 并测量像素强度的波动。 所述方法还包括基于由各个像素表示的单元的部分的测量的波动来计算各个像素的复杂度测量。 然后可以映射和/或绘制这样的复杂性度量以便评估细胞闪烁,从而评估细胞的生物功能和其它特征。

    Complexity-based dynamical assay for assessing the toxicity and efficacy of pharmaceutical and other therapeutic interventions

    公开(公告)号:US20060189875A1

    公开(公告)日:2006-08-24

    申请号:US11356044

    申请日:2006-02-17

    IPC分类号: A61B5/04

    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.

    Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling
    10.
    发明申请
    Assessment of sleep quality and sleep disordered breathing based on cardiopulmonary coupling 有权
    基于心肺耦合评估睡眠质量和睡眠呼吸障碍

    公开(公告)号:US20050267362A1

    公开(公告)日:2005-12-01

    申请号:US11178990

    申请日:2005-07-12

    摘要: An assessment of sleep quality and sleep disordered breathing is determined from cardiopulmonary coupling between two physiological data series. 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 interval series. The amplitude variations in the QRS complex are used to extract a surrogate respiration signal (i.e., ECG-derived respiration) 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. Coherent cross-power can be applied to differentiate obstructive from non-obstructive disease, and admixtures of the same.

    摘要翻译: 通过两个生理数据序列之间的心肺耦合来确定睡眠质量和睡眠呼吸紊乱的评估。 从心电图(ECG)信号导出R-R间期序列。 提取R-R间隔序列的正常搏动以产生正常到正常的间隔序列。 QRS复合体的振幅变化用于提取与NN间隔序列相关联的替代呼吸信号(即ECG导出的呼吸)。 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。 使用相干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。 相干交叉功能可以应用于区分阻塞性和非阻塞性疾病,以及它们的混合物。