%0 Journal Article
%T Normalization of complexity measures based on Surrogate Approach and its application to ECG signal analysis<br>基于替代数据思想的复杂度归一化方法及其在心电信号分析中的应用
%A CHEN Wen-wei
%A RUAN Jiong
%A GU Fan-ji
%A <br>陈文伟
%A 阮炯
%A 顾凡及
%J 生物物理学报
%D 2006
%I 
%X Normalization of complexity measures based on surrogate approach overcomes the drawback of sensitivity of complexity measures to window length and sampling rate of signals.In this article,the authors normalized approximate entropy(ApEn) and C0 complexity that were most suitable for complexity analysis of biomedical signals.An application to ECG signals can reflect the difference between some heart diseases effectively.Meanwhile,through the comparison of kinds of complexity measures,it can be found that C0 complexity and approximate entropy(ApEn) have the weakest sensitivity to window length,so it can be used for signal analysis of short length data.
%K ECG
%K Surrogate data
%K Normalization of complexity measures
%K C0 complexity<br>心电信号
%K 替代数据
%K 归一化复杂度
%K C0复杂度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=2114F812A615230D&yid=37904DC365DD7266&vid=BC12EA701C895178&iid=0B39A22176CE99FB&sid=3986B25773CB6C30&eid=856C2E13D1000DB7&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=0&reference_num=11