文章基本信息

标题：Extracting fetal heart signal from noisy maternal ECG by multivariate singular spectrum analysis
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作者：Mansoureh Ghodsi ; Hossein Hassani ; Saeid Sanei 等
期刊名称：Statistics and Its Interface
印刷版ISSN：1938-7989
电子版ISSN：1938-7997
出版年度：2010
卷号：3
期号：3
页码：399-411
DOI：10.4310/SII.2010.v3.n3.a12
出版社：International Press
摘要：Fetal heart rate and its beat-to-beat variability are two important indications about the health and condition of the fetus. The observed maternal electrocardiogram (ECG) signal consists of mother heart signal and fetal heart signal and is often very noisy. In this paper, we propose a multivariate singular spectrum analysis (MSSA) for extracting and separating the mother heart signal, the fetal heart signal and the noise component from the combined ECGs. The proposed method is designed to cope with noisy recordings, which is an important limitation of several approaches proposed in the literature. To validate the proposed algorithm some noisy simulated signals are used. The performance of the technique is also examined using real-life signals.
关键词：singular spectrum analysis; fetal; maternal; ecg; noise; multivariate