Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Giovanna Alleva"'
The aim of this work was to compare the performances of the Projector Operator (PO) and the independent component analysis (ICA) based method for fetal signal extraction from fMCG. Both methods were applied on data recorded with the SARA system insta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::175ea06460f30250ed95e9170fdbe24d
https://doi.org/10.1016/j.ics.2007.01.002
https://doi.org/10.1016/j.ics.2007.01.002
The greatest impediment to extracting high-quality fetal signals from fetal magnetocardiography (fMCG) is environmental magnetic noise, which may have peak-to-peak intensity comparable to fetal QRS amplitude. Being an unstructured Gaussian signal wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98c6b2acd1cffdc348ffc27c84516631
https://doi.org/10.1088/0031-9155/50/23/006
https://doi.org/10.1088/0031-9155/50/23/006
Fetal magnetocardiography (fMCG) is the only noninvasive technique allowing effective assessment of fetal cardiac electrical activity during the prenatal period. The reconstruction of reliable magnetic field mapping associated with fetal heart activi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e234a20a912ae1257b55ff4cecaca3c3
https://ora.ox.ac.uk/objects/uuid:538e80c1-f37b-42dd-a55b-30e0e736580c
https://ora.ox.ac.uk/objects/uuid:538e80c1-f37b-42dd-a55b-30e0e736580c
Autor:
Silvia Comani, Giovanna Alleva
Publikováno v:
Physiological Measurement. 28:49-60
Fetal cardiac time intervals (fCTI) are dependent on fetal growth and development, and may reveal useful information for fetuses affected by growth retardation, structural cardiac defects or long QT syndrome. Fetal cardiac signals with a signal-to-no
Publikováno v:
Physics in Medicine and Biology. 50:4763-4781
Fetal magnetocardiography (fMCG) allows monitoring the fetal heart function through algorithms able to retrieve the fetal cardiac signal, but no standardized automatic model has become available so far. In this paper, we describe an automatic method
Publikováno v:
Physics in medicine and biology. 52(5)
Fetal magnetocardiography (fMCG) is a noninvasive technique suitable for the prenatal diagnosis of the fetal heart function. Reliable fetal cardiac signals can be reconstructed from multi-channel fMCG recordings by means of independent component anal
Publikováno v:
Physics in medicine and biology. 52(2)
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
Publikováno v:
Physics in medicine and biology. 51(4)
Independent component analysis (ICA) algorithms have been successfully used for signal extraction tasks in the field of biomedical signal processing. We studied the performances of six algorithms (FastICA, CubICA, JADE, Infomax, TDSEP and MRMI-SIG) f
Autor:
Silvia, Comani, Marco, Liberati, Dante, Mantini, Biagio, Merlino, Giovanna, Alleva, Elisabetta, Gabriele, Silvano, Di Luzio, Gian Luca, Romani
Publikováno v:
Acta obstetricia et gynecologica Scandinavica. 84(12)
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 longit
Autor:
Elisabetta Gabriele, Marco Liberati, Giovanna Alleva, Gian Luca Romani, Silvia Comani, Dante Mantini
Fetal magnetocardiography (fMCG) allows the non-invasive recording of fetal cardiac electrical activity with increasing efficacy as gestation progresses. Many reports on the successful extraction of reliable fetal magnetocardiographic traces in singl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00bb0d91e171718fff41512e1159dc8f
https://lirias.kuleuven.be/handle/123456789/245787
https://lirias.kuleuven.be/handle/123456789/245787