Detecting fetal heart sounds by means of Fractal Dimension analysis in the Wavelet domain.
Τίτλος | Detecting fetal heart sounds by means of Fractal Dimension analysis in the Wavelet domain. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Koutsiana, E., Hadjileontiadis L. J., Chouvarda I., & Khandoker A. H. |
Journal | Conf Proc IEEE Eng Med Biol Soc |
Volume | 2017 |
Pagination | 2201-2204 |
Date Published | 2017 07 |
ISSN | 1557-170X |
Λέξεις κλειδιά | Algorithms, 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. |
DOI | 10.1109/EMBC.2017.8037291 |
Alternate Journal | Conf Proc IEEE Eng Med Biol Soc |
PubMed ID | 29060333 |