广东工业大学学报
廣東工業大學學報
엄동공업대학학보
Journal of Guangdong University of Technology
2015年
4期
52-59,76
,共9页
谭北海%林锦荣%李卫军%蔡坤
譚北海%林錦榮%李衛軍%蔡坤
담북해%림금영%리위군%채곤
胎心电%相关性%盲分离%FastICA%梳状滤波器
胎心電%相關性%盲分離%FastICA%梳狀濾波器
태심전%상관성%맹분리%FastICA%소상려파기
fetal electrocardiogram%correlations%blind source separation%FastICA%comb filter
胎心电是目前研究的一个热点.基于线性叠加盲分离模型,孕妇腹部的胎心电检测信号在原理上是可以通过盲分离算法进行分离的.然而临床复杂的采样环境往往会破坏信号的线性叠加特性导致一般盲分离方法难以提取出微弱的胎心电信号.为此,本文提出了一种带噪情况下基于判断多路孕妇腹部混叠信号是否满足时域稀疏线性叠加特性判决方法.通过现有的心电检测手段,找到孕妇腹部混叠心电信号的稀疏区域并计算信号间的相关性,以度量多路信号的稀疏线性混叠程度.仿真结果表明,本文提出的基于胎心电检测信号的判别方法直观地反映了多路信号间的混叠线性程度,可为FastICA算法在胎心电的应用提供一个前期的判断依据,以便获得更优的分离效果或选择另外的盲分离算法.
胎心電是目前研究的一箇熱點.基于線性疊加盲分離模型,孕婦腹部的胎心電檢測信號在原理上是可以通過盲分離算法進行分離的.然而臨床複雜的採樣環境往往會破壞信號的線性疊加特性導緻一般盲分離方法難以提取齣微弱的胎心電信號.為此,本文提齣瞭一種帶譟情況下基于判斷多路孕婦腹部混疊信號是否滿足時域稀疏線性疊加特性判決方法.通過現有的心電檢測手段,找到孕婦腹部混疊心電信號的稀疏區域併計算信號間的相關性,以度量多路信號的稀疏線性混疊程度.倣真結果錶明,本文提齣的基于胎心電檢測信號的判彆方法直觀地反映瞭多路信號間的混疊線性程度,可為FastICA算法在胎心電的應用提供一箇前期的判斷依據,以便穫得更優的分離效果或選擇另外的盲分離算法.
태심전시목전연구적일개열점.기우선성첩가맹분리모형,잉부복부적태심전검측신호재원리상시가이통과맹분리산법진행분리적.연이림상복잡적채양배경왕왕회파배신호적선성첩가특성도치일반맹분리방법난이제취출미약적태심전신호.위차,본문제출료일충대조정황하기우판단다로잉부복부혼첩신호시부만족시역희소선성첩가특성판결방법.통과현유적심전검측수단,조도잉부복부혼첩심전신호적희소구역병계산신호간적상관성,이도량다로신호적희소선성혼첩정도.방진결과표명,본문제출적기우태심전검측신호적판별방법직관지반영료다로신호간적혼첩선성정도,가위FastICA산법재태심전적응용제공일개전기적판단의거,이편획득경우적분리효과혹선택령외적맹분리산법.
Extraction of fetal electrocardiogram ( FECG) is currently focused as a prominent issue of med-ical research.Theoretically FECG can be extracted from the maternal abdominal recordings by conven-tional blind source separation algorithm.But in the complexity of the real environment,there must be with the proviso that the recordings need to meet the linear mixing model of Blind Source Separation (BSS).This problem will be more difficult in noisy environment.In view of this fact,our paper intro-duces a discriminant method of BSS based on FECG correlations analysis.The sparse areas of signals are found firstly,and then we can calculate the correlation values of these areas as a judging criterion on the basis of whether the recordings meet the model of BSS so that FECG can be extracted from these observa-tions by conventional BSS methods.Finally,using this discriminant method,the researchers can obtain better performance of extraction or choose other methods which are more interesting.