%0 Journal Article
%T COARSE GRAINING IN COMPLEXITY ANALYSIS OF EEGI. OVER COARSE GRAINING AND A COMPARISON AMONG THREE KINDS OF COMPLEXITIES<br>脑电图复杂度分析中的粗粒化问题 I.过分粗粒化和三种复杂度的比较
%A 孟欣
%A 沈恩华
%A 陈芳
%A 顾凡及
%J 生物物理学报
%D 2000
%I 
%X It is often to take a coarse graining preprocessing before a complexity analysis is made for biomedical signal time series. Some information may be lost during such preprocessing, and even the dynamic property of the original signal may be radically distorted in some case. Some approaches to overcome such problems were proposed in this article. Comparing different complexity measures, we suggest that approximate entropy and C0 complexity defined by us may be proper candidates for such analysis. Complexity analysis of EEG was done as examples.
%K EEG
%K Coarse graining
%K Complexity analy<br>粗粒化
%K 复杂性分析
%K 复杂度
%K 脑电图
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=F1B9EDC423169EDA&yid=9806D0D4EAA9BED3&vid=7801E6FC5AE9020C&iid=E158A972A605785F&sid=80BBC722D530DB8D&eid=C19D5524C51D7FE4&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=11&reference_num=18