| 独立分量分析在胎儿心电提取中的应用 |
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| 引用本文： | 谢杨梅,吴小培. 独立分量分析在胎儿心电提取中的应用[J]. 池州师专学报, 2009, 0(3) |
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| 作者姓名： | 谢杨梅 吴小培 |
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| 作者单位： | 安徽大学计算机科学与技术学院;池州学院学生处; |
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| 基金项目： | 安徽省自然科学基金资助(070412038) |
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| 摘 要： | 胎儿心电(Fetal Electrocardiogram,FECG)是通过安置在母体腹部表面电极间接检测到的微弱信号,其中含有各种形式的干扰信号,如何将胎儿心电从强背景干扰中分离出来,具有重要的临床应用价值。独立成分分析(Independent Component Analysis,ICA)是近年发展起来的一种新的盲源分离技术(Blind source separation,BSS)。本文将ICA方法应用于胎儿心电信号的提取,并对胎儿心电的在线提取进行了研究,取得了较好的胎儿心电分离效果。
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| 关 键 词： | 独立分量分析 胎儿心电 母体心电 |
Application of Independent Component Analysis in FECG Extraction |
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| Xie Yangmei,,Wu Xiaopei. Application of Independent Component Analysis in FECG Extraction[J]. Journal of Chizhou Teachers College, 2009, 0(3) |
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| Authors: | Xie Yangmei Wu Xiaopei |
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| Affiliation: | 1.School of Computer Science and Technology;Anhui University;Hefei;Anhui 230039;2.Students' Affairs Division Chizhou College;Chizhou;Anhui 247000 |
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| Abstract: | Fetal Electrocardiogram(FECG) is a weak signal from the maternal ECG indirectly measured by surface electrodes placed on mother's abdomen.The Fetal signals are buried in other interference signals.Extracting FECG from the strong background interference has an important value in clinical application.Independent Component Analysis(ICA) is a new technique for blind source separation(BSS).This paper uses ICA for the extraction of FECG, and studies the online extraction of FECG. |
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