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A novel approach to fetal ECG extraction and enhancement using blind source separation (BSS-ICA) and adaptive fetal ECG enhancer (AFE)

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4 Author(s)
Abhinav Gupta ; Department of Electronics and Communication Engineering Jaypee Institute of Information Technology University Noida, India ; M. C. Srivastava ; Vineet Khandelwal ; Abhilekh Gupta

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.

Published in:

Information, Communications & Signal Processing, 2007 6th International Conference on

Date of Conference:

10-13 Dec. 2007