计算机应用与软件2016，Vol.33Issue(8)：95-98,4.DOI:10.3969/j.issn.1000-386x.2016.08.021
基于吉文斯变换提取 ECG 中 J 波信号
EXTRACTING J-WAVE FROM ECG BASED ON GIVENS TRANSFORMATION
摘要
Abstract
J-wave is used as a new diagnose index of Electrocardiogram (ECG)ventricular repolarisation.Its emergence is a presage of possible sharp increase in risks of ventricular tachycardia,ventricular fibrillation and sudden cardiac death.The studies on distinguishing high-risk and benign patterns of J-wave have attracted much concern in recent years,but they are only limited to the clinical observations of time domain waveform of J-wave on ECG,and the judgements made rely on doctors’experiences,so there lacks the systematic evaluation criteria. For further studying the time-frequency domain characteristics of J-wave signal,our research focused on how to accurately extract J-wave from ECG.In this work we gave full consideration to the cyclostationary of normal ECG signal and diseased J-wave signal,and proposed a blind source separation (BSS)algorithm which uses high-order degree of cyclostationarity (HODCS)as the separation criterion.After positioning the ST-segment with wavelet packet transform (WPT)and then pre-processing with whitening,we used Givens transformation to separate source signals.Simulation results proved that this algorithm has better separation performance in practical application of J-wave extraction than classical Fast-ICA.关键词
J 波信号/盲源分离/循环平稳性/吉文斯变换Key words
J-wave signal/Blind source separation/Cyclostationary/Givens transformation分类
信息技术与安全科学引用本文复制引用
朱贝贝,赵菊敏,李灯熬..基于吉文斯变换提取 ECG 中 J 波信号[J].计算机应用与软件,2016,33(8):95-98,4.基金项目
国家自然科学基金面上项目（61371062）。 （）
