Literature DB >> 15613129

Characterization of fetal arrhythmias by means of fetal magnetocardiography in three cases of difficult ultrasonographic imaging.

Silvia Comani1, Marco Liberati, Dante Mantini, Elisabetta Gabriele, Donatella Brisinda, Silvano Di Luzio, Riccardo Fenici, Gian Luca Romani.   

Abstract

Characterization of ultrasound detected fetal arrhythmias is generally performed by means of M-mode and pulsed Doppler echocardiography (fECHO), sonographic techniques that allow only indirect and approximate reconstruction of the true electrophysiological events that occur in the fetal heart. Several studies demonstrated the ability of fetal magnetocardiography (fMCG) to identify fetal arrhythmias. We report on three women, studied after the 32nd gestational week, who were referred for fMCG because of unsatisfying fetal cardiac visualization with fECHO due to maternal obesity, fetus in constant dorsal position hiding the fetal heart, intrauterine growth retardation, and oligohydramnios. Minor pericardial effusion was present in the third patient and digoxin therapy was given. FMCG were recorded with a 77-channel MCG system working in a shielded room. Independent Component Analysis (FastICA algorithm) was used to reconstruct fetal signals. The good quality of the retrieved fetal signals allowed real-time detection of arrhythmias and their classification as supraventricular extrasystoles (SVE), with/without aberrant ventricular conduction and/or atrioventricular block. The time course of the fetal cardiac rhythm was reconstructed for the entire recording duration; hence, fetal heart rate variability could be studied in time and frequency. Since isolated extrasystoles may progress to more hazardous supraventricular tachycardias, the noninvasive antenatal characterization of, even transient, fetal arrhythmias and their monitoring during pregnancy can be of great clinical impact.

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Year:  2004        PMID: 15613129     DOI: 10.1111/j.1540-8159.2004.00699.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  7 in total

1.  The effect of volume conductor modeling on the estimation of cardiac vectors in fetal magnetocardiography.

Authors:  Rong Tao; Elena-Anda Popescu; William B Drake; David N Jackson; Mihai Popescu
Journal:  Physiol Meas       Date:  2012-04       Impact factor: 2.833

2.  Segmented independent component analysis for improved separation of fetal cardiac signals from nonstationary fetal magnetocardiograms.

Authors:  Luiz O Murta; Mauro G Guzo; Eder R Moraes; Oswaldo Baffa; Ronald T Wakai; Silvia Comani
Journal:  Biomed Tech (Berl)       Date:  2015-06       Impact factor: 1.411

3.  A novel approach to track fetal movement using multi-sensor magnetocardiographic recordings.

Authors:  R B Govindan; S Vairavan; U D Ulusar; J D Wilson; S S McKelvey; H Preissl; H Eswaran
Journal:  Ann Biomed Eng       Date:  2010-12-08       Impact factor: 3.934

4.  Cardiac vectors in the healthy human fetus: developmental changes assessed by magnetocardiography and realistic approximations of the volume conductor.

Authors:  R Tao; E A Popescu; W B Drake; M Popescu
Journal:  Physiol Meas       Date:  2013-04-22       Impact factor: 2.833

5.  A new ICA-based fingerprint method for the automatic removal of physiological artifacts from EEG recordings.

Authors:  Gabriella Tamburro; Patrique Fiedler; David Stone; Jens Haueisen; Silvia Comani
Journal:  PeerJ       Date:  2018-02-23       Impact factor: 2.984

Review 6.  Fetal arrhythmias: prenatal evaluation and intrauterine therapeutics.

Authors:  Shi-Min Yuan; Zhi-Yang Xu
Journal:  Ital J Pediatr       Date:  2020-02-12       Impact factor: 2.638

7.  Spatial repolarization heterogeneity detected by magnetocardiography correlates with cardiac iron overload and adverse cardiac events in beta-thalassemia major.

Authors:  Chun-An Chen; Meng-Yao Lu; Shinn-Forng Peng; Kai-Hsin Lin; Hsiu-Hao Chang; Yung-Li Yang; Shiann-Tarng Jou; Dong-Tsamn Lin; Yen-Bin Liu; Herng-Er Horng; Hong-Chang Yang; Jou-Kou Wang; Mei-Hwan Wu; Chau-Chung Wu
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

  7 in total

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