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基于樣本熵與決策樹的麻醉意識深度評價指數(shù)的研究

發(fā)布時間:2018-01-19 22:25

  本文關鍵詞: 麻醉監(jiān)護 腦電參數(shù) 決策樹 麻醉深度指數(shù) BIS指數(shù) 出處:《生物醫(yī)學工程學雜志》2015年02期  論文類型:期刊論文


【摘要】:麻醉意識深度監(jiān)測是臨床中保證全身麻醉(全麻)手術順利進行的關鍵手段之一,腦電圖(EEG)作為檢測大腦皮層活動的主要信號,是評價麻醉意識深度的重要工具。本文根據(jù)腦電信號隨麻醉意識深度變化的趨勢,提出結合腦電分析中的時域、頻域及復雜度方法,采用決策樹分類器與最小二乘擬合法計算麻醉深度指數(shù)(DOAI)。利用臨床采集的40例丙泊酚全麻手術患者的腦電信號和麻醉專家對信號的分類、評分對此方案進行驗證,實驗結果與目前臨床上廣泛使用的BIS指數(shù)進行對比,結果顯示DOAI與BIS指數(shù)的Pearson相關性可達0.89,從而證實此方案的可行性與準確性,為麻醉監(jiān)護工作者提供了一種思路。
[Abstract]:The depth monitoring of anesthesia consciousness is one of the key means to ensure the smooth operation of general anesthesia (general anesthesia) in clinic. EEG (EEGG) is the main signal to detect cerebral cortex activity. It is an important tool to evaluate the depth of anesthesia consciousness. According to the trend of EEG changes with the depth of anesthetic consciousness, this paper puts forward the method of time domain, frequency domain and complexity in combining EEG analysis. The anaesthesia depth index (DOAI) was calculated by using the decision tree classifier and the least square fitting method. The EEG signals of 40 patients undergoing general anesthesia with propofol and the classification of the signals by anesthesiologists were used. The experimental results were compared with the BIS index which is widely used in clinical practice. The results showed that the Pearson correlation between DOAI and BIS index could reach 0.89. Thus, the feasibility and accuracy of the scheme are verified, and a train of thought is provided for the anesthesiologist.
【作者單位】: 浙江大學生物醫(yī)學工程與儀器科學學院生物醫(yī)學工程教育部重點實驗室;浙江普可醫(yī)療科技有限公司;
【基金】:浙江省自然科學基金資助項目(LY13H180004) 中央高校基本科研業(yè)務費專項資金資助項目
【分類號】:R614
【正文快照】: 2(浙江普可醫(yī)療科技有限公司,杭州310007)引言全麻手術中,為使手術順利進行,會使用麻醉藥物使患者呈現(xiàn)意識消失、全身痛覺喪失等狀態(tài),準確監(jiān)測患者麻醉過程中意識變化情況可保證患者不會發(fā)生術中知曉,同時減少麻醉藥物的使用量[1]。麻醉過程中,麻醉藥物會對大腦神經(jīng)元突觸間神

【參考文獻】

相關期刊論文 前5條

1 和衛(wèi)星;陳曉平;邵s,

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