公开(公告)号：US20150164413A1

公开(公告)日：2015-06-18

申请号：US14566926

申请日：2014-12-11

Applicant: NATIONAL CHUNG SHAN INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： SHANG-JU WU ,  NIEN-TZU CHEN ,  KUO-KUANG JEN ,  JIANN-SHING SHIEH ,  SHOU-ZEN FAN

IPC: A61B5/00 ,  A61B5/11 ,  A61B5/0476

CPC classification number: A61B5/4821 ,  A61B3/113 ,  A61B5/0476 ,  A61B5/11 ,  A61B5/7203

Abstract: A method of creating an anesthetic consciousness index with an artificial neural network includes, obtaining physiological signals, including electroencephalographic signals and eye movement signals, from subjects during a physiological signal monitoring process; filtering noise out of the physiological signals by empirical mode decomposition (EMD); calculating sample entropy values of the noise-removed physiological signals; obtaining sample entropy value sets of the physiological signals; repeating the aforesaid steps to effectuate measurement, noise-filtering, and sample entropy value calculation of the subjects' physiological signals and thus obtain a sample entropy value set; and applying an artificial neural network in conducting regression analysis of the sample entropy value set and a set of levels of consciousness measured with a physiological signal monitor during the physiological signal monitoring process, thereby creating the anesthetic consciousness index model for evaluating the level of consciousness of an anesthetized patient during the physiological signal monitoring process.

Abstract translation: 利用人造神经网络创建麻醉意识指数的方法包括在生理信号监测过程中从受试者获得包括脑电信号和眼运动信号的生理信号; 通过经验模式分解（EMD）对生理信号进行滤波; 计算噪声消除的生理信号的样本熵值; 获取生理信号的样本熵值集; 重复上述步骤以实现受试者生理信号的测量，噪声滤波和样本熵值计算，从而获得样本熵值集合; 以及在生理信号监测过程中应用人造神经网络进行样本熵值集的回归分析和用生理信号监测器测量的一组意识水平，由此创建用于评估意识水平的意识水平的麻醉意识指数模型 在生理信号监测过程中麻醉患者。