Analyzing EEG of Quasi-brain-death Based on Approximate Entropy Measures

摘要：

Significant characteristic differences exist between the group of comatose patients and brain deaths. Statistical analysis methods have advantages in analyzing recorded EEG signals. In this paper, we apply a method based on approximate entropy (ApEn) associated with dynamic complexity to analyze a total of 35 patients. The experimental results illustrate effectiveness of the proposed method in measuring the EEG data and well performance in evaluating the differences between comatose patients and quasibrain-deaths.

关键词： Electroencephalography (EEG) Quasi-brain-death Approximate entropy (ApEn) Dynamic complexity

作者: Kun Yang Qiwei Shi Jianting Cao Rubin Wang Huili Zhu Zhaoshui He

作者单位: Institute for Cognitive Neurodynamics, East China University of Science and Technology,Shanghai 200237, China

会议类型: 国际会议

会议名称: The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)

会议地点: 杭州

会议语种:英文

页码: 735-740

在线出版日期: 2009-11-15（万方平台首次上网日期，不代表论文的发表时间）