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New techniques to detect fetal heart abnormalities

Title
New techniques to detect fetal heart abnormalities
Funding
ARC | Linkage Projects
Contract (GA) number
LP100200184
Start Date
2010/01/01
End Date
2013/12/31
Open Access mandate
no
Organizations
-
More information
http://purl.org/au-research/grants/arc/LP100200184

 

  • Tone Entropy Analysis of Foetal Heart Rate Variability

    Khandoker, Ahsan; Karmakar, Chandan; Kimura, Yoshitaka; Endo, Miyuki; Oshio, Sayaka; Palaniswami, Marimuthu (2015)
    Projects: ARC | New techniques to detect fetal heart abnormalities (LP100200184)
    Development of the foetal autonomic nervous system can be indirectly understood by looking at the changes in beat to beat variability in foetal heart rates. This study presents Tone-Entropy (T-E) analysis of foetal heart rate variability (HRV) at multiple lags (1–8) to understand the influence of gestational ages (early and late) on the development of the foetal autonomic nervous system (ANS). The analysis was based on foetal electrocardiograms (FECGs) of 46 healthy foetuses of 20–32 weeks (e...

    Assessment of Fetal Development Using Cardiac Valve Intervals

    Marzbanrad, Faezeh; Khandoker, Ahsan H.; Kimura, Yoshitaka; Palaniswami, Marimuthu; Clifford, Gari D. (2017)
    Projects: ARC | New techniques to detect fetal heart abnormalities (LP100200184), NIH | Mobile Health Intervention to Improve Perinatal Continuum of Care in Guatemala (1R21HD084114-01)
    An automated method to assess the fetal physiological development is introduced which uses the component intervals between fetal cardiac valve timings and the Q-wave of fetal electrocardiogram (fECG). These intervals were estimated automatically from one-dimensional Doppler Ultrasound and noninvasive fECG. We hypothesize that the fetal growth can be estimated by the cardiac valve intervals. This hypothesis was evaluated by modeling the fetal development using the cardiac intervals and validat...
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