Title :
Signal Processing Based for Fetal Electrocardiogram Extraction
Author :
Sargolzaei, S. ; Faez, K. ; Sargolzaei, A.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
Abstract :
In this paper, we describe four important indirect methods which be used to extract the fetal Electrocardiogram (FECG) signal from an ECG recorded on the mother´s abdomen. These methods include the following ones: singular value decomposition (SVD) method, independent component analysis (ICA) method, wavelet based methods and adaptive filtering method. The mentioned methods use signal processing techniques for extracting FECG from abdominal electrocardiogram (AECG). We have explained advantages and disadvantages of each method. The methods have also applied on both synthetic and real ECG signals. Efficiencies of the methods compared together based on three important criterions and results are stated and best method based on three criterions is selected.
Keywords :
adaptive filters; electrocardiography; gynaecology; medical signal processing; wavelet transforms; abdomen; adaptive filtering method; fetal electrocardiogram extraction; independent component analysis; signal processing; singular value decomposition; wavelet based methods; Abdomen; Biomedical signal processing; Electrocardiography; Electrodes; Fetus; Heart; Independent component analysis; Low-frequency noise; Noise level; Signal processing; Abdominal Electrocardiogram (AECG) Signal; Adaptive Filtering; Fetal Electrocardiogram (FECG) Signal; Independent Component Analysis; Singular Value Decomposition; Wavelet;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.304