DocumentCode
2974315
Title
A novel approach to fetal ECG extraction and enhancement using blind source separation (BSS-ICA) and adaptive fetal ECG enhancer (AFE)
Author
Gupta, Arpan ; Srivastava, M.C. ; Khandelwal, Vineet ; Gupta, Arpan
Author_Institution
Jaypee Inst. of Inf. Technol. Univ., Noida
fYear
2007
fDate
10-13 Dec. 2007
Firstpage
1
Lastpage
4
Abstract
Eight out of one thousand born live infants have some form of heart defect, making it the single most common class of congenital abnormalities. Identification of these cases during early pregnancy reduces risks by timely treatment or planned delivery. The non-invasive fetal ECG (FECG) monitoring by means of abdominal surface electrodes provides valuable information about the cardiac electrical activity of fetus. In this paper, analysis and comparative study of four channel adaptive maternal ECG canceller-adaptive fetal ECG enhancer (FAMC-AFE) and blind source separation (BSS-ICA) methods are presented. These methods have been applied to real multichannel ECG recordings obtained from a pregnant woman´s skin and synthetic biomedical signals. After investigation of the results the BSS-ICA AFE approach, proposed by us, has been shown to be superior for extraction and enhancement of fetal ECG compared to other BSS scheme.
Keywords
adaptive signal processing; blind source separation; cardiology; electrocardiography; medical signal processing; obstetrics; abdominal surface electrodes; adaptive fetal ECG enhancer; blind source separation; cardiac electrical activity; channel adaptive maternal ECG canceller; congenital abnormalities; early pregnancy; fetal ECG extraction; fetus; heart defect; multichannel ECG recordings; synthetic biomedical signals; Abdomen; Blind source separation; Electrocardiography; Electrodes; Fetus; Heart; Monitoring; Pediatrics; Pregnancy; Surface treatment;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-0982-2
Electronic_ISBN
978-1-4244-0983-9
Type
conf
DOI
10.1109/ICICS.2007.4449716
Filename
4449716
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