Abstract
In this paper we apply Independent Component Analysis to magnetocardiographic data recorded from the abdomen of pregnant women. In particular, we include a dimensionality reduction in the ’Cumulant Based Iterative Inversion’ algorithm to achieve a ’signal subspace’ subdivision, which enhances the algorithm’s efficacy in resolving the signals of interest from the recorded traces. Our results show that the proposed two-step procedure is a powerful means for the extraction of the cardiac signals from the background noise and for a sharp separation of the baby’s heart from the mother’s.
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© 2004 Springer-Verlag Berlin Heidelberg
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Barbati, G., Porcaro, C., Salustri, C. (2004). ‘Signal Subspace’ Blind Source Separation Applied to Fetal Magnetocardiographic Signals Extraction. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_137
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DOI: https://doi.org/10.1007/978-3-540-30110-3_137
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