广西师范大学学报（自然科学版）Issue(2)：29-35,7.DOI:10.16088/j.issn.1001-6600.2015.02.005
基于统计分布熵的抑郁症脑电信号分析
Analysis of Depression Electroencephalogram Based on Statistics Distribution Entropy
摘要
Abstract
A method is proposed to calculate and analyze electroencephalogram to improve the situation in which there is an emergency for the effective quantitative parameters for mental disorders.The method first defines a statistics distribution entropy to describe the state distribution of brain electrical activity,which can calculate and analyze the state difference of it.The entropy is applied to numerical calculation of electroencephalogram signal between depression patients and normal control group. Meanwhile,the difference is compared between them.The experiment shows that the statistics distribution entropy in depression patients is significantly greater than that of the normal healthy people in some brain regions.Further analysis proves that the entropy can be used as a parameter to measure the state distribution of brain electrical activity and to analyze its difference.The analysis also tells that the entropy plays an important role in diagnosis of other mental disorder.关键词
统计分布熵/脑电信号/抑郁症Key words
statistics distribution entropy/electroencephalogram/depression分类
信息技术与安全科学引用本文复制引用
王凯明,周海燕,郭家梁,杨孝敬,王刚,钟宁..基于统计分布熵的抑郁症脑电信号分析[J].广西师范大学学报（自然科学版）,2015,(2):29-35,7.基金项目
国家重点基础研究发展计划(973计划)项目(2014CB744605,2014CB744603) （973计划）
国家国际科技合作专项基金资助项目(2013DFA32180) （2013DFA32180）
国家自然科学基金资助项目(61272345) （61272345）
