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Detecting fetal heart sounds by means of Fractal Dimension analysis in the Wavelet domain.

TitleDetecting fetal heart sounds by means of Fractal Dimension analysis in the Wavelet domain.
Publication TypeJournal Article
Year of Publication2017
AuthorsKoutsiana, E., Hadjileontiadis L. J., Chouvarda I., & Khandoker A. H.
JournalConf Proc IEEE Eng Med Biol Soc
Volume2017
Pagination2201-2204
Date Published2017 07
ISSN1557-170X
KeywordsAlgorithms, Auscultation, Fetal Heart, Fractals, Heart Sounds, Phonocardiography, Signal Processing, Computer-Assisted, Wavelet Analysis
Abstract

Phonocardiography is a low-cost technique for the detection of fetal heart sounds (FHS) that can extend clinical auscultation in mobile and home care setups. The work presented here examines the transferability of a Wavelet Transform (WT)-based method that combines also Fractal Dimension (FD) analysis, previously proposed as WT-FD for the cases of lung and bowel sound analysis [4], to the extraction of FHSs. The WT-FD method has been evaluated with 12 simulated FHS signals and has shown promising results in terms of accuracy and performance (89%) in identifying the location of heartbeat, even in cases of signals with additive noise up to (6dB). This robustness paves the way for WT-FD testing in real FHSs, recorded under clinical setting, clearly contributing to better evaluation of the fetal heart functionality.

DOI10.1109/EMBC.2017.8037291
Alternate JournalConf Proc IEEE Eng Med Biol Soc
PubMed ID29060333

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