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
收藏
页码:2201 / 2204
页数:4
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