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。