物理学报Issue(8)：1-7,7.DOI:10.7498/aps.64.088701
基于自适应模板法的脑电信号转移熵分析∗
Transfer entropy analysis of electro encephalogram based on adaptive template metho d
摘要
Abstract
Electroencephalogram (EEG) is a very weak random signal with complex mechanism, which comprehensively reflects the activities and the functional states of brain tissue. Due to the weak characteristic of EEG, the traditional basic template method is a good tool for EEG analysis. In order to further enhance the performance of this method, we propose a new transfer entropy method based on adaptive template. The method improves the symbolization of time series based on the original basic template method. Numerical experiments show that the improved adaptive template method can obtain better dynamic characteristics, and also has better ability to distinguish the results in the analysis of time series. We use the transfer-entropy-based adaptive template method to analyze adolescent and adult EEG. We also study the relationship of the transfer-entropy-based adaptive template method to the total data length L and the data length l of the divided cells. Numerical results show that the transfer entropy value of adult EEG based on adaptive template is significantly higher than that of teenager EEG. This indicates that adult has a more significantly mental activity and the functional status of the brain is more complex. We then apply this method to human EEG signals and investigate their statistical properties. The results show that compared with the result of the basic method, the transfer-entropy-based adaptive template method can significantly show the EEG coupling for adolescents and adults EEG, which has a better discrimination and can better capture dynamic information and the change of the system dynamic complexity. At the same time, it will be more conducive to clinical diagnosis and provides a new and better method to judge whether brain is in a pathological state.关键词
基本模板/自适应模板/转移熵Key words
basic template/adaptive template/transfer entropy引用本文复制引用
王莹,侯凤贞,戴加飞,刘新峰,李锦,王俊..基于自适应模板法的脑电信号转移熵分析∗[J].物理学报,2015,(8):1-7,7.基金项目
国家自然科学基金(批准号:61271082,61201029,61102094,61401518)、江苏省自然科学基金(批准号：BK20141432)、南京军区南京总医院基金(批准号:2014019)和中央高等学校基本科研业务费专项资金(批准号：FY2014LX0039)资助的课题.* Project supported by the National Natural Science Foundation of China (Grant Nos.61271082,61201029,61102094,61401518), the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20141432), the Foundation of Nanjing General Hospital of Nanjing Military Command, China (Grant No.2014019), and the Fundamental Research Funds for the Central Universities, China (Grant No. FY2014LX0039) （批准号:61271082,61201029,61102094,61401518）
