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Tone entropy analysis of foetal heart rate variability

Khandoker, Ahsan, Karmakar, Chandan, Kimura, Yoshitaka, Endo, Miyuki, Oshio, Sayaka and Palaniswami, Marimuthu 2015, Tone entropy analysis of foetal heart rate variability, Entropy, vol. 17, no. 3, pp. 1042-1053, doi: 10.3390/e17031042.

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Title Tone entropy analysis of foetal heart rate variability
Author(s) Khandoker, Ahsan
Karmakar, ChandanORCID iD for Karmakar, Chandan orcid.org/0000-0003-1814-0856
Kimura, Yoshitaka
Endo, Miyuki
Oshio, Sayaka
Palaniswami, Marimuthu
Journal name Entropy
Volume number 17
Issue number 3
Start page 1042
End page 1053
Total pages 12
Publisher MDPI AG
Place of publication Basel, Switzerland
Publication date 2015-03-02
ISSN 1099-4300
Keyword(s) foetal electrocardiogram
foetal heart rate variability
tone-entropy analysis
foetal automatic nervous system
Summary 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 (early group) and 22 foetuses of 35–41 weeks (late group). Tone represents sympatho-vagal balance and entropy the total autonomic activities. Results show that tone increases and entropy decreases at all lags for the late foetus group. On the other hand, tone decreases and entropy increases at lags 1–4 in the early foetus group. Increasing tone in late foetuses might represent significant maturation of sympathetic nervous systems because foetuses approaching to delivery period need increased sympathetic activity. T-E could be quantitative clinical index to determine the early foetuses from late ones on the basis of maturation of autonomic nervous system.
Language eng
DOI 10.3390/e17031042
Field of Research 090609 Signal Processing
090399 Biomedical Engineering not elsewhere classified
080109 Pattern Recognition and Data Mining
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30075705

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.