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000127869 020__ $$a978-3-642-29304-7
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000127869 037__ $$aFZJ-2012-00818
000127869 1001_ $$0P:(DE-Juel1)144822$$aYao, Yu$$b0$$eCorresponding author
000127869 1112_ $$aWorld Congress on Medical Physics and Biomedical Engineering May 26-31, 2012 Beijing, China$$cBeijing$$d2012-05-26 - 2012-05-31$$gWC2012$$wChina
000127869 245__ $$aSignal Separation for Ballistocardiography via Locally Projective Noise Reduction
000127869 260__ $$c2012
000127869 29510 $$aWorld Congress on Medical Physics and Biomedical Engineering May 26-31, 2012 Beijing, China
000127869 300__ $$aonline
000127869 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1359015321_24568
000127869 3367_ $$033$$2EndNote$$aConference Paper
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000127869 3367_ $$2BibTeX$$aINPROCEEDINGS
000127869 500__ $$3POF3_Assignment on 2016-02-29
000127869 520__ $$aThe work presented in this paper focuses on the separation of the respiratory and cardiac components of a ballistocardiogram (BCG) recorded by means of a bed-mounted BCG system. The aim is to preserve the original waveform of both components and thus to enable the calculation of more sophisticated medical markers, e.g. markers based on the phasecoupling between respiration and heartbeat. For this purpose, an iterative method based on locally projective noise reduction is developed. The key advantage of the proposed method is that it distinguishes signals not by their frequency components but by the typical time and amplitude scale of deflections in the signals.
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000127869 7001_ $$0P:(DE-HGF)0$$aBrüser,$$b1
000127869 7001_ $$0P:(DE-HGF)0$$aVollmer,$$b2
000127869 7001_ $$0P:(DE-Juel1)133935$$aSchiek, Michael$$b3
000127869 773__ $$p501-504$$v39
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000127869 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144822$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
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000127869 9141_ $$y2012
000127869 920__ $$lyes
000127869 9201_ $$0I:(DE-Juel1)ZEL-20090406$$kZEL$$lZentralinstitut für Elektronik$$x0
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