Application of Anesthesia Monitoring by EEG Entropy Algorithm
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    Abstract:

    The monitoring of anesthetic depth is an absolutely necessary procedure in the process of surgical operation. Anesthesia can be reasonable so that in the absence of pain in patients with the conduct of surgical treatment, The right to judge and control the depth of anesthesia has become a clinical problem to be resolved urgently.In this paper, EEG Signal Analysis Based on the depth of anesthesia Detect Method. Adopting a new method of EEG entropy——EEG will be simulated and processed by the fast algorithm of sort entropy on the computer, Experimental results show that sort entropy has a shorter computing time, high efficiency, strong anti-interference, high precision computation.

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马亮,黄伟志,肖志涛.脑电熵算法在麻醉监测中的应用.计算机系统应用,2010,19(12):216-218

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  • Received:April 06,2010
  • Revised:May 09,2010
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