caa a22 4500 465783465 CHVBK 20180323112001.0 cr unu---uuuuu 170327e19900501xx s 000 0 eng 10.1007/BF02442670 doi (NATIONALLICENCE)springer-10.1007/BF02442670 Comparison of SVD methods to extract the foetal electrocardiogram from cutaneous electrode signals [Elektronische Daten] [D. Callaerts, B. De Moor, J. Vandewalle, W. Sansen, G. Vantrappen, J. Janssens] The paper presents and compares three methods making use of the singular value decomposition (SVD) of a matrix to extract the foetal electrocardiogram (FECG) from cutaneously recorded electrode signals. The first method constructs a set of orthogonal foetal signals (the so-called principal foetal signals) from the recordings, but needs electrode positions far from the foetal heart, in addition to the abdominal electrodes that pick up a mixture of maternal and foetal electrocardiogram. An online adaptive algorithm has been developed such that a real-time implementation becomes feasible. The second method is a new online approach to a technique presented by van Oosterom. Although this method has some important drawbacks and is suboptimal as far as foetal signal-to-noise ratio is concerned. it is still very useful when only a foetal trigger is required, as the signal obtained is not a complete FECG, Finally, a third method is proposed, based on the generalised SVD and interpreted with the new concept of oriented signal-to-signal ratio. An online version is also presented for this method and some results are shown. IFMBE, 1990 Abdominal foetal electrocardiogram nationallicence Foetal principal signals nationallicence GSVD nationallicence Oriented energy nationallicence Oriented signal-to-signal, SVD nationallicence Callaerts D. Department of Electrical Engineering, ESAT Laboratory, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3030, Heverlee, Belgium aut De Moor B. Department of Electrical Engineering, ESAT Laboratory, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3030, Heverlee, Belgium aut Vandewalle J. Department of Electrical Engineering, ESAT Laboratory, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3030, Heverlee, Belgium aut Sansen W. Department of Electrical Engineering, ESAT Laboratory, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3030, Heverlee, Belgium aut Vantrappen G. Department of Computer Science, Stanford University, 94305, Stanford, CA, USA aut Janssens J. Department of Computer Science, Stanford University, 94305, Stanford, CA, USA aut Medical and Biological Engineering and Computing Kluwer Academic Publishers 28/3(1990-05-01), 217-224 0140-0118 28:3<217 1990 28 11517 https://doi.org/10.1007/BF02442670 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02442670 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Callaerts D. Department of Electrical Engineering, ESAT Laboratory, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3030, Heverlee, Belgium aut NATIONALLICENCE 700 1- De Moor B. Department of Electrical Engineering, ESAT Laboratory, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3030, Heverlee, Belgium aut NATIONALLICENCE 700 1- Vandewalle J. Department of Electrical Engineering, ESAT Laboratory, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3030, Heverlee, Belgium aut NATIONALLICENCE 700 1- Sansen W. Department of Electrical Engineering, ESAT Laboratory, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3030, Heverlee, Belgium aut NATIONALLICENCE 700 1- Vantrappen G. Department of Computer Science, Stanford University, 94305, Stanford, CA, USA aut NATIONALLICENCE 700 1- Janssens J. Department of Computer Science, Stanford University, 94305, Stanford, CA, USA aut NATIONALLICENCE 773 0- Medical and Biological Engineering and Computing Kluwer Academic Publishers 28/3(1990-05-01), 217-224 0140-0118 28:3<217 1990 28 11517 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer