Detecting Fetal Heart Sounds by Means of Fractal Dimension Analysis in the Wavelet Domain

被引：0

作者：

Koutsiana, E. ^{[1
]}

Hadjileontiadis, L. J. ^{[2
,3
]}

Chouvarda, I. ^{[1
]}

Khandoker, A. H. ^{[4
]}

机构：

[1] Aristotle Univ Thessaloniki, Med Sch, Lab Med Informat, GR-54124 Thessaloniki, Greece

[2] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, GR-54124 Thessaloniki, Greece

[3] Khalifa Univ Sci & Technol, Dept Elect & Comp Engn, POB 127788, Abu Dhabi, U Arab Emirates

[4] Khalifa Univ Sci & Technol, Dept Biomed Engn, POB 127788, Abu Dhabi, U Arab Emirates

来源：

2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2017年

关键词：

EXPLOSIVE LUNG; BOWEL SOUNDS; PHONOCARDIOGRAPHY; ALGORITHMS;

D O I：

暂无

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 ;

摘要：

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.

引用

页码：2201 / 2204

页数：4

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