Independent component analysis: fetal signal reconstruction from magnetocardiographic recordings
Independent component analysis (ICA) was used for the processing of cardiological signals obtained by means of fetal magnetocardiography (fMCG), a technique allowing the non-invasive recording of the weak magnetic field variations associated to the electrical activity of the fetal heart. Purpose of...
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| Vydáno v: | Computer methods and programs in biomedicine Ročník 75; číslo 2; s. 163 - 177 |
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Elsevier Ireland Ltd
01.08.2004
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| ISSN: | 0169-2607, 1872-7565 |
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| Abstract | Independent component analysis (ICA) was used for the processing of cardiological signals obtained by means of fetal magnetocardiography (fMCG), a technique allowing the non-invasive recording of the weak magnetic field variations associated to the electrical activity of the fetal heart. Purpose of the present work was to verify whether a computational-light ICA algorithm (FastICA), tailored to the characteristics of fMCG, could reconstruct reliable signals of the fetal cardiac activity during the last gestational trimester, when good electrophysiological traces are difficult to obtain although being extremely important for clinical diagnosis of severe fetal dysrhythmias. Several combinations of input recordings and output components were examined in order to assess the best configuration to successfully use FastICA. The reconstructed traces were compared with those obtained with deterministic techniques already used for this purpose, and they showed to be stable and reliable, unaffected by overlapped maternal and fetal beats and suitable for clinical applications. |
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| AbstractList | Independent component analysis (ICA) was used for the processing of cardiological signals obtained by means of fetal magnetocardiography (fMCG), a technique allowing the non-invasive recording of the weak magnetic field variations associated to the electrical activity of the fetal heart. Purpose of the present work was to verify whether a computational-light ICA algorithm (FastICA), tailored to the characteristics of fMCG, could reconstruct reliable signals of the fetal cardiac activity during the last gestational trimester, when good electrophysiological traces are difficult to obtain although being extremely important for clinical diagnosis of severe fetal dysrhythmias. Several combinations of input recordings and output components were examined in order to assess the best configuration to successfully use FastICA. The reconstructed traces were compared with those obtained with deterministic techniques already used for this purpose, and they showed to be stable and reliable, unaffected by overlapped maternal and fetal beats and suitable for clinical applications. Independent component analysis (ICA) was used for the processing of cardiological signals obtained by means of fetal magnetocardiography (fMCG), a technique allowing the non-invasive recording of the weak magnetic field variations associated to the electrical activity of the fetal heart. Purpose of the present work was to verify whether a computational-light ICA algorithm (FastICA), tailored to the characteristics of fMCG, could reconstruct reliable signals of the fetal cardiac activity during the last gestational trimester, when good electrophysiological traces are difficult to obtain although being extremely important for clinical diagnosis of severe fetal dysrhythmias. Several combinations of input recordings and output components were examined in order to assess the best configuration to successfully use FastICA. The reconstructed traces were compared with those obtained with deterministic techniques already used for this purpose, and they showed to be stable and reliable, unaffected by overlapp |
| Author | Mantini, Dante Comani, Silvia Cancellieri, Giovanni Lagatta, Antonio Pennesi, Paris |
| Author_xml | – sequence: 1 givenname: Silvia surname: Comani fullname: Comani, Silvia email: comani@itab.unich.it organization: Department of Clinical Sciences and Bio-imaging, University Foundation, Chieti University, Via dei Vestini 33, 66013 Chieti, Italy – sequence: 2 givenname: Dante surname: Mantini fullname: Mantini, Dante organization: Department of Informatics and Automation Engineering, Marche Polytechnic University, Ancona, Italy – sequence: 3 givenname: Paris surname: Pennesi fullname: Pennesi, Paris organization: Department of Informatics and Automation Engineering, Marche Polytechnic University, Ancona, Italy – sequence: 4 givenname: Antonio surname: Lagatta fullname: Lagatta, Antonio organization: ITAB-Institute of Advanced Biomedical Technologies, University Foundation, Chieti University, Chieti, Italy – sequence: 5 givenname: Giovanni surname: Cancellieri fullname: Cancellieri, Giovanni organization: Department of Electronics, Artificial Intelligence and Telecommunications, Marche Polytechnic University, Ancona, Italy |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/15212859$$D View this record in MEDLINE/PubMed |
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| Keywords | Data retrieval Independent component analysis (ICA) Fetal magnetocardiography (fMCG) Fetal cardiac monitoring Fetal signal reconstruction |
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| References_xml | – reference: S. Amari, A. Cichocki, H.H. Yang, A new learning algorithm for blind signal separation, in:G. Tesauro, D.S. Touretzky, T.K. Leen (Eds.), Advances in Neural Information Processing Systems, vol. 8, The MIT Press, Cambridge MA, 1996, pp. 757–763. – reference: D. Mantini, S. Comani, P. Pennesi, G. Cancellieri, Fetal Tailoring of the Independent Component Analysis to multi-channel fMCG recordings for an optimal reconstruction of the fetal cardiac signal, Biomedizinische Technik 48 (2004) in press. – reference: S. Comani, M. Liberati, E. Gabriele, A. Santarelli, A. Lagatta, D. Mantini, M. Stefanachi, G. Cancellieri, S. Di Luzio, G.L. Romani, Fetal Intra-cardiac Intervals for Different Gestational Epochs as Evaluated from Fetal Magnetocardiograms, Biomedizinische Technik 48 (2004) in press. – reference: G. Stroink, W. Moshage, S. Achenbach, Cardiomagnetism, in: W. Andrä and H. Nowak (Eds.), Magnetism in Medicine, Wiley-VCH, Berlin, 1998, pp. 136–189. – reference: J. Karhunen, A. Hyvärinen, R. Vigario, J. Hurri, E. Oja, Applications of neural blind separation to signal and image processing, in: Proceedings IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP’97), Munich, Germany, 1997, pp. 131–134. – volume: 110 start-page: 165 year: 2002 end-page: 176 ident: BIB22 article-title: The influence of fetoabdominal tissues on fetal ECGs and MCGs publication-title: Arch. Physiol. Biochem. – volume: 23 start-page: 1305 year: 2000 end-page: 1307 ident: BIB23 article-title: Prenatal diagnosis of QT prolongation by Magnetocardiography publication-title: Pacing Clinical Electrophysiol. – reference: J.F. Cardoso, Iterative techniques for blind source separation using only fourth-order cumulants, in: Proceedings EUSIPCO, Brussels, Belgium, 1992, pp. 739–742. – reference: Z. Dunajski, M.J. Peters, Development of the fetal magnetocardiogram from the 13th week of gestation onward, in: C. Baumgartner et al. 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| Title | Independent component analysis: fetal signal reconstruction from magnetocardiographic recordings |
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