An adaptive on-line method for the extraction of the complete fetal electrocardiogram from cutaneous multilead recordings

Callaerts, Dirk; Vanderschoot, J.; Vandewalle, Joos; Sansen, Willy; Vantrappen, Gaston; Janssens, Jozef

doi:10.1515/jpme.1986.14.6.421

Cited by 14 publications

(2 citation statements)

References 9 publications

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“…Recently, a completely different approach for FECG detection has been considered. Some authors formulated the FECG detection as a blind source separation (BSS) problem (Callaerts et al 1986, Zarzoso et al 1997, Lathauwer et al 2000. BSS methods, e.g., principal component analysis (PCA) and independent component analysis (ICA), are algebraic methods for the estimation of unobserved components from multidimensional data.…”

Section: Introductionmentioning

confidence: 99%

A robust fetal ECG detection method for abdominal recordings

et al. 2007

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In this paper, we propose a new method for FECG detection in abdominal recordings. The method consists of a sequential analysis approach, in which the a priori information about the interference signals is used for the detection of the FECG. Our method is evaluated on a set of 20 abdominal recordings from pregnant women with different gestational ages. Its performance in terms of fetal heart rate (FHR) detection success is compared with that of independent component analysis (ICA). The results show that our sequential estimation method outperforms ICA with a FHR detection rate of 85% versus 60% of ICA. The superior performance of our method is especially evident in recordings with a low signal-to-noise ratio (SNR). This indicates that our method is more robust than ICA for FECG detection.

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Section: Introductionmentioning

confidence: 99%

A robust fetal ECG detection method for abdominal recordings

et al. 2007

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“…Methods devised for suppressing the maternal contribution in the recorded signals obviously have to rely on differences in the characteristics of the FECG and the MECG. In the past various different characteristics have been used for this purpose such as differences in waveshape [3,8], frequency content [14] and source location [2]. In this paper a method is described which is based on differences in the source location.…”

Section: Introductionmentioning

confidence: 99%

Spatial filtering of the fetal electrocardiogram

Oosterom¹

1986

Journal of Perinatal Medicine

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One of the basic problems in the analysis of the rhythm and the shape of the fetal ECG (FECG) is the interference caused by the electrical activity of the maternal heart (MECG). Methods devised for suppressing the maternal signals in the abdominally recorded leads obviously have to rely on differences in the characteristics of both kinds of signals. In the past various differences have been employed for this purpose such as differences in wave shape, frequency content and source location. The method presented here is based on the latter principle. The electrical sources of the fetal and maternal heart are clearly separated in space. By employing multiple abdominal leads, a linear combination of the recorded signals can be formed which acts effectively as a spatial filter. As such the filtering characteristics depend exclusively on the separation inside the human body (the electrical volume conductor) and, as such, can be expected to be independent of the temporal aspects of the recorded signals. In particular, the obtained filter is unaffected by the occurrence of ectopic beats in either the fetal or the maternal heart. The determination of the required filter (weighting coefficients) is carried out by using the technique of singular value decomposition (SVD) of the data matrix representing the sampled input signals. The filter effectively suppresses the maternal component in the filter output and optimizes the fetal component. The properties of this filter are demonstrated.

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