Monitoring fetal development with magnetocardiography

N. S. Padhye, A. Brazdeikis, M. T. Verklan

    Research output: Contribution to journalConference article

    5 Scopus citations

    Abstract

    Fetal heart rate variability (fHRV) is useful for noninvasive assessment of the status of the autonomic nervous system of the developing fetus. In this pilot study we acquired fetal magnetocardiograms (fMCG) in a magnetically shielded environment Each recording was of 5-minute duration and was subsequently repeated in a high-frequency noise environment to examine the feasibility of conducting future recordings in clinical environments that lack facilities for magnetic shielding. The fMCG (n=17) were recorded at 9 spatial locations above the pregnant abdomen at 26 to 35 weeks gestational age (GA) by a second-order SQUID gradiometer. The signal-to-noise was adequate for reliable QRS detection even in the noisy environment, especially for GA ≥ 30. The total spectral power of the RR-series, as well as band powers at low (0.05 to 0.25 Hz) and high (0.25 to 1.00 Hz) frequencies independently exhibited an increasing trend with GA. There was no evidence of bias in spectral power due to lack of shielding. These results provide experimental evidence supporting further studies in magnetically unshielded environments and may have an important implication for future clinical use of fMCG in the assessment of fHRV.

    Original languageEnglish (US)
    Pages (from-to)3609-3610
    Number of pages2
    JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    Volume26 V
    StatePublished - Dec 1 2004
    EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
    Duration: Sep 1 2004Sep 5 2004

    Keywords

    • Fetal magnetocardiography
    • Heart rate variability
    • Power spectrum

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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