计算机工程2012，Vol.38Issue(23)：281-283,3.DOI:10.3969/j.issn.1000-3428.2012.23.070
基于Teager算子的短时HRV样本熵算法
Short-term HRV Sample Entropy Algorithm Based on Teager Operator
摘要
Abstract
The original sample entropy algorithm can not effectively extract the characteristic difference of Heart Rate Variability(HRV) signals between healthy people and Congestive Heart Failure(CHF) sufferers in short-term nonlinear analysis. This paper presents an improved algorithm of sample entropy based on the Teager Energy Operator(TEO). The heartbeat interval series are preprocessed with TEO to detect the abnormal rhythm in the activity of cardiac dynamics, in order to strengthen the effect of sample entropy analysis. Experimental results of signals from healthy people and CHF sufferers in MIT-BIH database show that this algorithm can significantly reflect the difference of nonlinear complexity between CHF sufferers and healthy people's short-term HRV signals, and thus can be used as a new auxiliary basis for computer diagnosis of heart failure.关键词
心率变异性/短时/非线性/样本熵/Teager能量算子/充血性心衰Key words
Heart Rate Variability(HRV)/ short-term/ nonlinear/ sample entropy/ Teager energy operator/ congestive heart failure分类
信息技术与安全科学引用本文复制引用
霍铖宇,黄晓林,宁新宝,钱振江..基于Teager算子的短时HRV样本熵算法[J].计算机工程,2012,38(23):281-283,3.基金项目
国家自然科学基金资助项目(60701002) （60701002）
江苏省"六大人才高峰"高层次人才基金资助项目(2011-DZXX-035) （2011-DZXX-035）
