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    Method and apparatus for the estimation of anesthesia depth
    2.
    发明授权
    Method and apparatus for the estimation of anesthesia depth 有权
    估计麻醉深度的方法和装置

    公开(公告)号：US07603168B2

    公开(公告)日：2009-10-13

    申请号：US12148151

    申请日：2008-04-17

    申请人： Stéphane Bibian ,  Tatjana Zikov ,  Guy Albert Dumont ,  Craig Robert Ries ,  Ernest Puil ,  Hosaain Cyrus Ahmadi ,  Mihai Huzmezan ,  Bernard Ansell MacLeod

    发明人： Stéphane Bibian ,  Tatjana Zikov ,  Guy Albert Dumont ,  Craig Robert Ries ,  Ernest Puil ,  Hosaain Cyrus Ahmadi ,  Mihai Huzmezan ,  Bernard Ansell MacLeod

    IPC分类号： A61B5/04

    CPC分类号： A61B5/4821 ,  A61B5/048 ,  A61B5/4035 ,  A61B5/7217 ,  A61B5/726 ,  A61B5/7267

    摘要： A method and apparatus to monitor and control the anesthesia state of a patient undergoing general anesthesia is provided. Previous automated systems to monitor the anesthesia state of a patient undergoing general anesthesia involve a significant time delay between the patient's true anesthesia state and the computed indices. The present invention reduces this time delay by using a novel analysis technique applied to spontaneous electrophysiological activity. A transformation and statistical analysis of the observed electrophysiological activity is conducted and compared to reference data to provide numerical indicators. In addition, these indicators are consistent with the levels of depression of patients CNS and ANS states. This method is illustrated in detail by CNS monitoring of electroencephalogram signals.

    摘要翻译： 提供了一种用于监测和控制进行全身麻醉的患者的麻醉状态的方法和装置。 以前的自动系统监测患者进行全身麻醉的麻醉状态涉及患者真实麻醉状态与计算出的指数之间的显着时间延迟。 本发明通过使用应用于自发电生理活动的新型分析技术来减少该时间延迟。 对观察到的电生理活动进行转化和统计分析，并与参考数据进行比较以提供数值指标。 此外，这些指标与患者CNS和ANS状态的抑郁水平一致。 CNS对脑电图信号的监测详细说明了该方法。

    Method and system for the denoising of large-amplitude artifacts in electrograms using time-frequency transforms
    4.
    发明授权
    Method and system for the denoising of large-amplitude artifacts in electrograms using time-frequency transforms 有权
    使用时频变换去除电磁图中大幅度伪影的方法和系统

    公开(公告)号：US07672717B1

    公开(公告)日：2010-03-02

    申请号：US10968348

    申请日：2004-10-19

    申请人： Tatjana Zikov ,  Stephane Bibian ,  Guy Albert Dumont ,  Mihai Huzmezan ,  Craig Robert Ries

    发明人： Tatjana Zikov ,  Stephane Bibian ,  Guy Albert Dumont ,  Mihai Huzmezan ,  Craig Robert Ries

    IPC分类号： A61B5/04 ,  A61B5/05

    CPC分类号： A61B5/0476 ,  A61B5/0496 ,  A61B5/726

    摘要： The present invention relates to a method of signal processing of electrograms for use in medical devices, preferably by time-frequency transforms. The present invention additionally relates to a system for receiving and analyzing such signals. The present invention preferably is a method utilizing the time-frequency transforms, such as wavelet transforms, for the purpose of artifact removal from EGs. These transforms decompose a signal in both time and frequency domains, and therefore, are well suited for non-stationary signal analysis. As a result, dissimilar signal features are well localized both in time and frequency, which potentially provides a good separation between the signal of interest and artifacts. This particularly applies to large-amplitude artifacts corrupting EGs.

    摘要翻译： 本发明涉及一种信号处理方法，用于医疗装置中使用的电描记图，优选地通过时频变换。 本发明还涉及一种用于接收和分析这些信号的系统。 本发明优选地是利用诸如小波变换的时间 - 频率变换来从EG去除人造物的目的的方法。 这些变换在时域和频域都分解信号，因此非常适合于非平稳信号分析。 因此，不同的信号特征在时间和频率上都很好地定位，这可能在感兴趣的信号和伪像之间提供良好的分离。 这特别适用于破坏EGs的大幅度伪影。

    Method and apparatus for the estimation of anesthetic depth using wavelet analysis of the electroencephalogram
    5.
    发明申请
    Method and apparatus for the estimation of anesthetic depth using wavelet analysis of the electroencephalogram 有权
    用脑电图小波分析估算麻醉深度的方法和装置

    公开(公告)号：US20040010203A1

    公开(公告)日：2004-01-15

    申请号：US10616997

    申请日：2003-07-11

    申请人： Bionova Technologies Inc.

    发明人： Stephane Bibian ,  Tatjana Zikov ,  Guy Albert Dumont ,  Craig Robert Ries ,  Ernest Puil ,  Hossain Cyrus Ahmadi ,  Mihai Huzmezan ,  Bernard Ansell Macleod

    IPC分类号： A61B005/04

    CPC分类号： A61B5/4821 ,  A61B5/048 ,  A61B5/4035 ,  A61B5/7217 ,  A61B5/726 ,  A61B5/7267

    摘要： A method and apparatus to monitor the neurologic state of a patient undergoing general anesthesia is provided. Previous automated systems to monitor the neurologic state of a patient undergoing general anesthesia involve a significant time delay between the patient's true hypnotic state and the computed indices. The present invention reduces this time delay by using a different analysis technique applied to spontaneous EEG. A wavelet decomposition and statistical analysis of the observed EEG is conducted and compared to reference data to provide a numerical indicator. In addition, this indicator is more consistent with the patient's loss of consciousness indicated by the loss of count event than previous systems.

    摘要翻译： 提供了一种监测患有全身麻醉的患者的神经状态的方法和装置。 以前用于监测患有全身麻醉的患者的神经状态的自动化系统涉及患者真实催眠状态与计算出的指数之间的显着时间延迟。 本发明通过使用应用于自发性EEG的不同分析技术来减少该时间延迟。 进行观察脑电图的小波分解和统计分析，并与参考数据进行比较以提供数值指标。 此外，该指标与以前系统的计数事件丢失所表示的患者意识丧失更为一致。