Analysis of fetal heart rate asymmetry before and after 35 weeks of gestation

Karmakar, Chandan, Kimura, Yoshitaka, Palaniswami, Marimuthu and Khandoker, Ahsan 2015, Analysis of fetal heart rate asymmetry before and after 35 weeks of gestation, Biomedical signal processing and control, vol. 21, pp. 43-48, doi: 10.1016/j.bspc.2015.05.010.

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Title Analysis of fetal heart rate asymmetry before and after 35 weeks of gestation
Author(s) Karmakar, ChandanORCID iD for Karmakar, Chandan orcid.org/0000-0003-1814-0856
Kimura, Yoshitaka
Palaniswami, Marimuthu
Khandoker, Ahsan
Journal name Biomedical signal processing and control
Volume number 21
Start page 43
End page 48
Total pages 6
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-08
ISSN 1746-8094
1746-8108
Keyword(s) Science & Technology
Technology
Life Sciences & Biomedicine
Engineering, Biomedical
Medical Laboratory Technology
Engineering
Fetal heart rate variability
Heart rate asymmetry (HRA)
Poincare plot
HRA index
RATE-VARIABILITY
INTRAPARTUM CARDIOTOCOGRAPHY
BAROREFLEX SENSITIVITY
AUTONOMIC REGULATION
BEHAVIORAL STATES
SPECTRAL-ANALYSIS
WAVELET ANALYSIS
RENAL-FAILURE
RATE SIGNAL
Summary In this study, we have investigated the evidence of fetal heart rate asymmetry and how the fetal heart rate asymmetry changes before and after 35 weeks of gestation. Noninvasive fetal electrocardiogram (fECG) signals from 45 pregnant women at the gestational age from16 to 41 weeks with normal single pregnancies were analysed. A nonlinear parameter called heart rate asymmetry (HRA) index that measures time asymmetry of RR interval time-series signal was used to understand the changes of HRA in early and late fetus groups. Results indicate that fetal HRA measured by Porta's Index (PI) consistently increases after 35 weeks gestation compared to foetus before 32 weeks of gestation. It might be due to significant changes of sympatho-vagal balance towards delivery with more sympathetic surge. On the other hand, Guzik's Index (GI) showed a mixed effect i.e., increases at lower lags and decreases at higher lags. Finally, fHRA could potentially help identify normal and the pathological autonomic nervous system development.
Language eng
DOI 10.1016/j.bspc.2015.05.010
Field of Research 090399 Biomedical Engineering not elsewhere classified
0903 Biomedical Engineering
1004 Medical Biotechnology
Socio Economic Objective 860802 Human Diagnostics
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30075701

Document type: Journal Article
Collection: Centre for Pattern Recognition and Data Analytics
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