Time course reconstruction of fetal cardiac signals from fMCG: independent component analysis versus adaptive maternal beat subtraction
نویسندگان
چکیده
منابع مشابه
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 the present work was to verify whether a computational-light ICA algorithm (FastICA), tailored to...
متن کاملBeat-to-beat estimate of fetal cardiac time intervals using magnetocardiography: longitudinal charts of normality ranges and individual trends.
BACKGROUND Fetal magnetocardiography (fMCG) records fetal cardiac electro-physiological activity during the second half of gestation. We aimed at assessing normality values, related variability, and trends of fetal cardiac time intervals (fCTI) evaluated longitudinally from beat-to-beat fMCG analysis in uncomplicated pregnancies. MATERIALS AND METHODS The fMCG were recorded with multi-channel...
متن کاملPerformance comparison of six independent components analysis algorithms for fetal signal extraction from real fMCG data.
In this study we compare the performance of six independent components analysis (ICA) algorithms on 16 real fetal magnetocardiographic (fMCG) datasets for the application of extracting the fetal cardiac signal. We also compare the extraction results for real data with the results previously obtained for synthetic data. The six ICA algorithms are FastICA, CubICA, JADE, Infomax, MRMI-SIG and TDSE...
متن کاملIndependent component analysis and fetal magnetocardiography: a tool for the automatic classification of independent components
Fetal Magnetocardiography (fMCG) allows the non-invasive recording of the weak magnetic field variations associated with the electrical activity of the fetal heart. We used Independent Component Analysis (ICA) for the separation of maternal and fetal signals from fMCG recordings. The identification of fetal components is essential to reconstruct fetal signals. In this work we present a tool for...
متن کاملIndependent Component Analysis of Biomedical Signals
(1) Computational Neurobiology Laboratory, Howard Hughes Medical Institute The Salk Institute for Biological Studies; (2) Institute for Neural Computation, University of California San Diego, La Jolla CA; (3) Department of Biology, University of California San Diego, La Jolla CA. (4) Naval Health Research Center, San Diego CA; (5) Department of Medicine (Neurology), Duke University (6) Brain Im...
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ژورنال
عنوان ژورنال: Physiological Measurement
سال: 2004
ISSN: 0967-3334,1361-6579
DOI: 10.1088/0967-3334/25/5/019